WO2003063054A2 - Fingerprint workstation and methods - Google Patents

Fingerprint workstation and methods Download PDF

Info

Publication number
WO2003063054A2
WO2003063054A2 PCT/US2003/001168 US0301168W WO03063054A2 WO 2003063054 A2 WO2003063054 A2 WO 2003063054A2 US 0301168 W US0301168 W US 0301168W WO 03063054 A2 WO03063054 A2 WO 03063054A2
Authority
WO
WIPO (PCT)
Prior art keywords
finger
fingeφrint
image
print scanner
platen
Prior art date
Application number
PCT/US2003/001168
Other languages
French (fr)
Other versions
WO2003063054A3 (en
Inventor
George W. Mcclurg
John F. Carver
Walter G. Scott
Gregory Zyzdryn
Original Assignee
Cross Match Technologies, Inc.
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Family has litigation
First worldwide family litigation filed litigation Critical https://patents.darts-ip.com/?family=27613238&utm_source=google_patent&utm_medium=platform_link&utm_campaign=public_patent_search&patent=WO2003063054(A2) "Global patent litigation dataset” by Darts-ip is licensed under a Creative Commons Attribution 4.0 International License.
Application filed by Cross Match Technologies, Inc. filed Critical Cross Match Technologies, Inc.
Priority to JP2003562846A priority Critical patent/JP2005516290A/en
Priority to AU2003207563A priority patent/AU2003207563A1/en
Priority to DE60323208T priority patent/DE60323208D1/en
Priority to EP03705774A priority patent/EP1476841B1/en
Publication of WO2003063054A2 publication Critical patent/WO2003063054A2/en
Publication of WO2003063054A3 publication Critical patent/WO2003063054A3/en

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/12Fingerprints or palmprints
    • G06V40/13Sensors therefor
    • G06V40/1324Sensors therefor by using geometrical optics, e.g. using prisms
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/98Detection or correction of errors, e.g. by rescanning the pattern or by human intervention; Evaluation of the quality of the acquired patterns
    • G06V10/993Evaluation of the quality of the acquired pattern
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/60Static or dynamic means for assisting the user to position a body part for biometric acquisition
    • G06V40/67Static or dynamic means for assisting the user to position a body part for biometric acquisition by interactive indications to the user

Definitions

  • the present invention is generally related to biometric imaging systems. More particularly, the present invention is related to a fingerprint imaging system.
  • Biometrics is a science involving the analysis of biological characteristics. Biometric imaging captures a measurable characteristic of a human being for identity purposes. See, e.g., Gary Roethenbaugh, Biometrics Explained, International Computer Security Association, Inc., pp. 1-34 (1998), which is incorporated herein by reference in its entirety.
  • AFIS Automatic Finge ⁇ rint Identification System
  • AFIS Automatic Finge ⁇ rint Identification System
  • Law enforcement personnel collect finge ⁇ rint images from criminal suspects when they are arrested.
  • AFIS input device is a ten-print scanner.
  • ten-print scanners require each finger to be imaged using a roll print.
  • Each finger is identified prior to imaging, such as, for example, right hand thumb, right hand ring fmger, left hand middle fmger, etc. This enables the system to know whether the left or right hand is being imaged and to know where to place the imaged finge ⁇ rint on a finge ⁇ rint card.
  • This process of rolling each finger to obtain finge ⁇ rints and thumb prints during an arrest or background check is a relatively complex and time consuming process.
  • consoles contain built-in equipment, such as a monitor, a keyboard, a pointing device, and at least one processor, for processing and viewing finge ⁇ rint images.
  • Custom-made consoles are very expensive, and thus, are manufactured at low volume rates. Custom-made consoles are also burdened with high maintenance costs. When the console malfunctions, the entire system is inoperable.
  • a finge ⁇ rint workstation designed for capturing plain impression finge ⁇ rints.
  • an affordable finge ⁇ rint workstation that requires reduced complexity relative to a rolled print workstation, yet provides data and finge ⁇ rint image integrity based on Federal Bureau of Investigation (FBI) certification standards.
  • a finge ⁇ rint workstation that captures four simultaneous finge ⁇ rint impressions as a single image, segments the single image to create four separate images, and automatically determines whether the single image is a left or right hand image.
  • the present invention solves the above-mentioned problems by providing a ten-print plain impression finge ⁇ rint workstation that ensures data and finge ⁇ rint image integrity as well as adheres to FBI certification standards.
  • the present invention captures four simultaneous finge ⁇ rint impressions as a single image and segments the single image to create four separate images.
  • the present invention also distinguishes between the left and right hand.
  • the present invention is directed to a ten-print plain impression finge ⁇ rint workstation.
  • the finge ⁇ rint workstation comprises a ten- print scanner.
  • the ten-print scanner has a finger guide and a platen for positioning four finger slaps onto the platen.
  • the ten-print scanner also includes at least four indicators for providing real-time feedback for each finger of a finge ⁇ rint image of the four finger slaps.
  • the finge ⁇ rint workstation also includes a computer, interfaced to the ten-print scanner via a communication link, for controlling the ten-print scanner.
  • FIG. 1A is a high level block diagram illustrating a finge ⁇ rint workstation according to one embodiment of the present invention.
  • FIG. IB is a diagram of an exemplary computer system.
  • FIG. 1 C is a block diagram illustrating an exemplary electrical system for a finge ⁇ rint workstation according to an embodiment of the present invention.
  • FIG. 2 is a diagram illustrating a ten-print scanner according to one embodiment of the present invention.
  • FIG. 3 is a diagram illustrating a finger guide and a platen for a finge ⁇ rint workstation according to an embodiment of the present invention.
  • FIG. 4A is a diagram illustrating left-hand positioning on a finger guide of a finge ⁇ rint workstation according to an embodiment of the present invention.
  • FIG.4B is a diagram illustrating right-hand positioning on a finger guide of a finge ⁇ rint workstation according to an embodiment of the present invention.
  • FIG. 4C is a diagram illustrating thumb positioning of a finger guide of a finge ⁇ rint workstation according to an embodiment of the present invention.
  • FIG. 5 is a diagram illustrating feedback indicators for a finge ⁇ rint workstation according to an embodiment of the present invention.
  • FIG. 6 is a flow diagram illustrating a method for determining the quality of individual finge ⁇ rints according to an embodiment of the present invention.
  • FIG. 7 is a flow diagram illustrating a method for processing four fmger slap images.
  • FIG. 8 is a flow diagram illustrating a method for determining whether a scanned four finger slap is a right hand or a left hand.
  • FIG. 9 is a block diagram illustrating an electrical/optical system of a ten- print scanner according to an embodiment of the present invention.
  • FIG. 10 is a diagram illustrating the placement of finge ⁇ rints onto a finge ⁇ rint card.
  • FIG. 11 is a diagram illustrating a 90 degree cross section of an exemplary optical system according to an embodiment of the present invention.
  • FIG. 12 is a diagram illustrating an exemplary illumination system according to an embodiment of the present invention.
  • the present invention is a finge ⁇ rint workstation for finge ⁇ rint applications.
  • the finge ⁇ rint workstation provides simplicity when finge ⁇ rinting applicants for submission to background checks. This is accomplished by providing four finger slap impressions in a single image. A simultaneous impression of the four fingers from one hand are captured as a single image and automatically segmented to create four separate images. After the finge ⁇ rints from the four fingers from both hands are captured, thumb prints from both hands are captured simultaneously. Each individual extracted image is placed within the corresponding finge ⁇ rint box on a finge ⁇ rint card. Proper sequencing is performed using both software analysis and physical properties of a platen having a finger guide. The image size for the four finger slap images are 1600 by 1000 pixels.
  • the segmented plain digit size is 800 by 750 pixels, and the plain thumb images are 500 by 1000 pixels.
  • Finge ⁇ rint images are presented on a workstation screen, such as a monitor for a personal computer, for real time quality checks and ease of correction.
  • the finge ⁇ rint workstation uses slap impressions, rather than traditional rolled impressions, to speed up the process of applicant processing and simplify the task of capturing quality prints.
  • the finge ⁇ rint workstation provides long sustained use at an affordable cost. Affordability is achieved through many different factors. One such factor is the mechanical simplicity and reduced complexity of the workstation.
  • the finge ⁇ rint workstation is designed for plain impression finge ⁇ rint capture. This alone provides a reduction in complexity relative to a rolled print design.
  • the illumination system provides excellent uniformity performance.
  • the illumination system is thermally stabilized and generates little or no heat, thus creating a more efficient light source.
  • the illumination light wavelength is selected to maximize finge ⁇ rint information and definition, thereby improving the quality of a finge ⁇ rint when dealing with overly wet or dry fingers to be finge ⁇ rinted.
  • FIG. 1A is a high level block diagram illustrating a finge ⁇ rint workstation 100 according to one embodiment of the present invention.
  • Finge ⁇ rint workstation 100 comprises a ten-print scanner 102, a computer 104, and an interface cable 120.
  • Interface cable 120 is a 1394 serial interface bus for interfacing ten-print scanner 102 with computer 104.
  • 1394 is an IEEE standard for a high performance serial bus designed to provide high speed data transfers. 1394 is a cost-effective way to share real-time information from data intensive applications, such as cameras, camcorders, VCRs, video disks, scanners, etc.
  • Computer 104 may be any commercial off-the-shelf computer.
  • computer 104 may be a personal computer (PC).
  • An example implementation of computer 104 is shown in FIG. IB.
  • Various embodiments are described in terms of this exemplary computer 104. After reading this description, it will be apparent to a person skilled in the relevant art how to implement the invention using other computer systems and/or computer architectures.
  • Computer 104 may include one or more processors, such as processor 122.
  • Processor 122 is connected to a communication bus 124.
  • Computer 104 also includes a main memory 126, preferably random access memory (RAM), and may also include a secondary memory 128.
  • Secondary memory 128 may include, for example, a hard disk drive 130 and/or a removable storage drive 132, representing a floppy disk drive, a magnetic tape drive, an optical disk drive, etc.
  • Removable storage drive 132 reads from and/or writes to a removable storage unit 134 in a well-known manner.
  • Removable storage unit 134 represents a floppy disk, magnetic tape, optical disk, etc., which is read by and written to by removable storage drive 132.
  • removable storage unit 134 includes a computer usable storage medium having stored therein computer software and/or data.
  • secondary memory 128 may include other similar means for allowing computer programs or other instructions to be loaded into computer 104.
  • Such means may include, for example, a removable storage unit 136 and an interface 138. Examples of such may include a program cartridge and cartridge interface (such as that found in video game devices), a removable memory chip (such as an EPROM, or PROM) and associated socket, and other removable storage units 136 and interfaces 138 which allow software and data to be transferred from the removable storage unit 136 to computer 104.
  • Computer 104 may also include a communications interface 140.
  • Communications interface 140 allows software and data to be transferred between computer 104 and external devices. Examples of communications interface 140 may include a modem, a network interface (such as an Ethernet card), a communications port, a PCMCIA slot and card, a wireless LAN (local area network) interface, etc.
  • Software and data transferred via communications interface 140 are in the form of signals 142 which may be electronic, electromagnetic, optical, or other signals capable of being received by communications interface 140. These signals 142 are provided to communications interface 140 via a communications path (i.e., channel) 144. This channel 144 carries signals 142 and may be implemented using wire or cable, fiber optics, a phone line, a cellular phone link, a wireless link, and other communications channels.
  • computer program product refers to removable storage units 134, 136, and signals 142. These computer program products are means for providing software to computer 104.
  • the invention is directed to such computer program products.
  • Computer programs also called computer control logic
  • Computer programs are stored in main memory 126, and/or secondary memory 128 and/or in computer program products. Computer programs may also be received via communications interface 140.
  • Such computer programs when executed, enable computer 104 to perform the features of the present invention as discussed herein.
  • the computer programs when executed, enable processor 122 to perform the features of the present invention. Accordingly, such computer programs represent controllers of computer 104.
  • the software maybe stored in a computer program product and loaded into computer 104 using removable storage drive 132, hard drive 130 or communications interface 140.
  • the control logic when executed by processor 122, causes processor 122 to perform the functions of the invention as described herein.
  • the invention is implemented primarily in hardware using, for example, hardware components such as application specific integrated circuits (ASICs).
  • ASICs application specific integrated circuits
  • the invention is implemented using a combination of both hardware and software.
  • ten-print scanner 102 provides four finger slap impressions in a single image.
  • a simultaneous impression of the four fingers from one hand are captured as a single image and automatically segmented to create four separate images.
  • thumb prints from both hands are captured simultaneously.
  • Each individual extracted image is placed within the corresponding finge ⁇ rint box on a finge ⁇ rint card.
  • Proper sequencing is performed using both software analysis and physical properties of a platen having a fmger guide. Finge ⁇ rint images are presented on a monitor associated with computer 104 for real time quality checks and ease of correction.
  • Ten-print scanner 102 comprises an electrical system 102 A and an optical system 102B.
  • the combination of electrical system 102A and optical system 102B provides electro-optical technology for capturing plain impression finge ⁇ rints.
  • Electrical system 102 A provides power to ten-print scanner 102, controls status signals for various components internal to ten-print scanner 102, controls all input/output signals between components internal to ten-print scanner 102, and controls input/output signals between ten-print scanner 102 and computer 104 via IEEE 1394 interface cards 108 and 106, respectively.
  • Optical system 102B enables scanner 102 to illuminate an area of a platen for receiving a finger or fingers, measure the reflected light optically, and convert the resulting signals into a finge ⁇ rint image.
  • FIG. IC is a diagram illustrating one embodiment of electrical system 102 A.
  • Electrical system 102 A comprises an interface board 150, two digital camera boards 152, an illuminator/prism heater board 154, an indicator board 156, and a magnetic-stripe reader 158.
  • Interface board 150 is coupled to digital camera boards 152, illuminator/prism heater board 154, indicator board 156, and magnetic-stripe reader 158.
  • Interface board 150 also interfaces each of boards 152, 154, and 156, and magnetic-stripe reader 158 to computer 104.
  • Interface board 150 comprises a controller 160, a digital camera interface 162, a magnetic-stripe reader RS-232 serial interface 164, a 2D barcode RS-232 serial interface 166, EEEE-1394 interface 108, and a power supply interface 168.
  • Controller 160 is coupled to digital camera interface 162, illuminator/prism heater board 154, indicator board 156, magnetic-stripe reader RS-232 serial interface 164, 2D barcode RS-232 serial interface 166, and IEEE-1394 interface 108.
  • Controller 160 and IEEE-1394 interface 108 provide a communication link between ten-print scanner 102 and computer 104.
  • controller 160 may be any one of a microprocessor, a microcomputer, a microcontroller, etc.
  • controller 160 maybe used to control digital cameras mounted on digital camera boards 152, a light source 170 used in optical system 102B, a prism heater 172 used to remove unwanted moisture from a platen, indicators used to indicate power status, card swipe status, and quality of finge ⁇ rint status, magnetic-swipe reader 158, and an external 2D barcode reader 174 that may be attached to scanner 102 via 2D barcode RS-232 serial interface 166.
  • both controller 160 and computer 104 are used to control the digital cameras, light source 170, prism heater 172, power/card swipe/finge ⁇ rint quality indicators, magnetic-swipe reader 158, and external 2D barcode reader 174.
  • computer 104 is used to control the digital cameras, light source 170, prism heater 172, power/card swipe/fmge ⁇ rint quality indicators, magnetic-swipe reader 158, and external 2D barcode reader 174, and controller 160 is used as a conduit.
  • 2D barcode reader 174 and magnetic-stripe reader 158 may be any off the shelf serial devices used to scan bar codes and data from documents, respectively. Bar codes and documents may include, but are not limited to, identification information, account information, finge ⁇ rint code information, etc.
  • 2D barcode reader 174 is coupled to controller 160 via 2D barcode RS-232 serial interface 166.
  • Magnetic-stripe reader 158 is coupled to controller 160 via magnetic-stripe RS-232 serial interface 164.
  • 2D barcode reader 174 and magnetic-stripe reader 158 reduce enrollment times and result in less data errors.
  • 2D barcode 174 and/or magnetic-stripe reader 158 may be used in conjunction with a user interface to simplify demographic data entry. Demographic information swiped from magnetic-stripe reader 158 or 2D barcode reader 174 may be sent to controller 160 via interfaces 164 and 166, respectively, and controller 160 will transmit the information to computer 104 via IEEE-1394 interface 108.
  • power supply interface 168 supplies power to all of the components within ten-print scanner 102 and interfaces to an external 12-volt power supply 180.
  • Digital camera interface 162 couples to controller 160 via a serial connection. Digital camera interface 162 is also connected to digital camera boards 152 to provide electronics for clocking data to and from digital cameras mounted onto digital camera boards 152. Controller 160 may send control signals to each camera serially via digital camera interface 162. Digital camera interface 162 is also connected to IEEE-1394 interface 108 for sending 16-bit image data from the cameras mounted on digital camera boards 152 to computer 104.
  • Illuminator/prism heater board 154 is coupled to controller 160 via a serial interface. Controller 160 controls different zones of light source 170 in the illumination system of optical system 102B.
  • the light source is an illumination source array.
  • the illumination source array is divided into zones. In one embodiment, a plurality of sources are divided into at least three groups in at least three respective zones. The intensity of each group of sources is independently controlled by controller 160 relative to other groups such that a flat, uniform illumination is provided to the platen. Use of such zones simplifies control while still retaining sufficient flexibility to adjust the relative intensity of the light source groups to ensure flat, uniform illumination is provided to the platen.
  • controller 160 controls trip point limits for turning heating elements on and off when heating the finge ⁇ rint platen. Controller 160 also monitors the temperature of the finge ⁇ rint platen via a thermostat controller. In one embodiment, this information maybe transmitted to computer 104 via IEEE 1394 interface 108.
  • Ten-print scanner 102 provides real-time feedback of finge ⁇ rint quality. This is accomplished using finge ⁇ rint quality indicators.
  • Finge ⁇ rint quality indicators (shown in FIG. 2) provide feedback to the user to indicate whether an appropriate level of finge ⁇ rint quality has been achieved.
  • Finge ⁇ rint quality indicators include four indicators, one for each fmger of the four fmger slap being scanned. Finge ⁇ rint quality indicators and the process used for determining the quality of each finge ⁇ rint is discussed in more detail below.
  • Indicator board 156 is coupled to controller 160 via a serial input/output connection.
  • Controller 160 provides control signals to indicator board 156 for illuminating indicators, such as LEDs (light emitting diodes) to indicate whether the quality of a particular finge ⁇ rint for a particular fmger is good or bad.
  • Controller 160 also provides a control signal for indicating that the system is powered-ON and control signals indicating whether a card swipe from magnetic- stripe reader 158 or 2D barcode reader 174 is successful. For example, if a card swipe is not successful, a CARD LED located on scanner 102 will be illuminated RED indicating that the card must be swiped again. Alternatively, if the card swipe is successful, the CARD LED will be illuminated GREEN.
  • FIG. 9 is a block diagram illustrating scanner optical system 102B often print scanner 102.
  • Scanner optical system 102B comprises an illumination system 902, a prism 904, optical systems 906 and 908, and two cameras 910 and 912.
  • Illumination system 902 illuminates the underside of platen 204.
  • Finger guide 206 is separated into left side 304 and right side 306.
  • camera 910, in combination with optical system 906, is used to detect an image of the fingers placed on the left side 304 of fmger guide 206
  • camera 912, in combination with optical system 908, is used to detect an image of the fingers placed on the right side 306 of finger guide 206.
  • Digital cameras 910 and 912 can be any solid state digital camera, such as a CCD or CMOS camera. In one example, digital cameras 910 and 912 may be provided on digital camera boards 152 described in FIG. IC.
  • FIG. 11 A 90 degree cross section of an exemplary optical system, such as, for example, optical system 906 or 908, is shown in FIG. 11.
  • Optical system 1100 shows prism 904, an optical housing 1102, and camera 910 or 912.
  • Optical housing 1102 is coupled to prism 904 at one end and to camera 910 or 912 using a focus mount 1116 at the opposite end.
  • Optical housing 1102 includes, inter alia, a first lens element 1104, a fold mirror 1106, a second lens element 1108, a third lens element 1110, a fourth lens element 1112, and an aperture stop 1114.
  • a biometric object such as a finger or fingers, placed on prism 904 for imaging, is focused through first lens element 1104 and reflected off of fold mirror 1106.
  • Aperture stop 1114 is used to limit light passing through optical system 906 or 908 such that only light rays traveling within a range of angles at or near a direction along an optical axis are detected.
  • the reflected image is then focused through second, third, and fourth lens elements 1108, 1110, and 1112 for detection by camera 910 or 912.
  • First and second lens elements 1104 and 1108 are comprised of convex disks made of SF3 glass and LaKlO glass, respectively.
  • Third lens element 1110 is comprised of concave disks made of SF8 glass and fourth lens element 1112 is comprised of concave and convex disks made of SKI 6 glass.
  • lens elements 1104, 1108, 1110, and 1112 are comprised of glass, they are not limited to glass. In fact, lens 1104, 1108, 1110, and 1112 can be made of any transparent material that can focus light rays and form images by refraction.
  • illumination system 902 includes an illumination source array 1202, a light wedge 1204, and a diffuser 1206.
  • Illumination source array 1202 illuminates an end region of light wedge 1204.
  • Light wedge 1204 then internally reflects light and sends it to diffuser 1206 prior to entering prism 904.
  • the light from illumination source array 1202 can be any single wavelength or narrowband of wavelengths such as infra-red, visible or ultraviolet light. In one example, blue/green light having a wavelength of approximately 510 nm is used.
  • Illumination system 902 is further described in "Systems and Methods For Illuminating A Platen In A Print Scanner," U.S. Provisional Patent Application Serial No. TBD (Attorney Docket No. 1823.0570000), by Arnold et al, and is inco ⁇ orated herein by reference in its entirety.
  • FIG. 2 is a diagram illustrating an embodiment often-print scanner 102.
  • a housing 202 for ten-print scanner 102 is constructed of impact resistant injection molded polycarbonate.
  • One skilled in the relevant art(s) would know that other types of housings could be used without departing from the scope of the invention.
  • Ten-print scanner 102 shows a finge ⁇ rint platen 204, a fmger guide 206, finge ⁇ rint quality indicators 208, a power indicator 210, and a card indicator 212.
  • Ten-print scanner 102 also shows magnetic-stripe reader 158 located at the top of ten-print scanner 102.
  • Finge ⁇ rint quality indicators 208 are located directly above finger guide 206.
  • Power indicator 210 is illuminated when power is applied to scanner 102 via external 12-volt power supply 180.
  • Card indicator 212 is illuminated green when a card swipe is successful and red when a card swipe is unsuccessful.
  • Finge ⁇ rint platen 204 is a receiving surface for placement of the four finger slaps and the thumbs during finge ⁇ rinting.
  • platen 204 is one side of a prism (not shown).
  • platen 204 is one side of a prism with an optical quality silicone rubber sheet placed on top. The optical quality silicone rubber sheet is replaceable.
  • Optical quality silicone rubber platens provide adequate surface quality to optimize image enhancements as well as protect the optical surface. Optical quality silicone rubber platens are further described in U.S. Provisional Patent Application No. 60/292,341, "Silicone Rubber Surfaces for Biometric Print ⁇ R Prisms," filed May 22, 2001 , and U.S. Provisional Patent Application No. 60/286,373, "Silicone Rubber Surfaces for Biometric Print TIR Prisms,” filed April 26, 2001 , both of which are inco ⁇ orated by reference herein in their entireties.
  • Finger guide 206 is located along the sides and the top of fmge ⁇ rint platen 204. Finger guide 206 is a mechanism for locating and separating the four finger slap to provide accurate and efficient placement of fingers. Finger guide 206 also provides a physical barrier that facilitates the identification of either a right or left hand using post software analysis of the four finger slap finge ⁇ rint images.
  • FIG.3 is a diagram illustrating finger guide 206 and finge ⁇ rint platen 204 for finge ⁇ rint workstation 100 according to an embodiment of the present invention.
  • Finge ⁇ rint platen 204 includes an optical quality silicone rubber sheet attached to the side of the prism used as the platen. The optical silicone pad may be easily removed and replaced by operating personnel when needed.
  • the size of the active finge ⁇ rint platen area 204 is 2.05 by 3.6 inches at 500 dpi.
  • Finger guide 206 includes a physical barrier 302 positioned along the middle of the top of finger guide 206. Physical barrier 302 is used to separate the four finger slap. Two fingers of the four finger slap are placed on a left side 304 of physical barrier 302 while the other two fingers of the four finger slap are placed on a right side 306 of physical barrier 302.
  • FIG. 4A is a diagram illustrating four finger placement of a left hand on finge ⁇ rint platen 204 and finger guide 206.
  • finger guide 206 physically separates the ring fmger and the middle finger of the left hand.
  • Finger guide 206 is designed so that when the tips of the middle and ring fingers make contact with finger guide 206, the four fingers are positioned co ⁇ ectly in the viewing area. This forces the four fingers to have a diagonal orientation. This is also true for a right hand positioned onto finge ⁇ rint platen 204, as shown in FIG. 4B.
  • FIG. 4C is a diagram illustrating the placement of the thumbs onto finge ⁇ rint platen 204.
  • the present invention provides feedback of real-time individual finge ⁇ rint quality to the user.
  • Providing real-time finge ⁇ rint quality feedback simplifies the use of finge ⁇ rint workstation 100 and facilitates capturing of the best possible finge ⁇ rints.
  • FIG. 5 is a diagram illustrating feedback indicators 208 for finge ⁇ rint workstation 100.
  • An indicator (502, 504, 506, and 508) is assigned to each fmger of the four finger slap being scanned. For example, if a left hand is placed on finge ⁇ rint platen 204, indicator 502 conesponds to pinky finger 510, indicator 504 conesponds to ring finger 512, indicator 506 conesponds to middle finger 514, and indicator 508 conesponds to pointer fmger 516.
  • indicator 502 conesponds to pointer finger 516
  • indicator 504 conesponds to middle finger 514
  • indicator 506 conesponds to ring fmger 512
  • indicator 508 conesponds to pinky finger 510.
  • each image frame is processed to determine the quality of the individual finge ⁇ rint.
  • the conesponding indicators 502, 504, 506, and 508 provide feedback to the user for possible co ⁇ ections or re-positioning of fingers 510, 512, 514, and 516 on finge ⁇ rint platen 204 so that an appropriate level of finge ⁇ rint quality can be achieved.
  • one embodiment may use multi-color LEDs for indicators 502, 504, 506, and 508.
  • a red LED may indicate poor quality
  • a green LED may indicate acceptable quality
  • an amber LED may indicate indeterminate quality.
  • indicators 502, 504, 506, and 508 may be bar graph LED indicators, wherein the level of the bar indicates quality acceptance.
  • FIG. 6 is a flow diagram 600 illustrating a method for determining the quality of individual finge ⁇ rints according to an embodiment of the present invention.
  • the invention is not limited to the description provided herein with respect to flow diagram 600. Rather, it will be apparent to persons skilled in the relevant art(s) after reading the teachings provided herein that other functional flow diagrams are within the scope of the present invention.
  • the process begins with step 602, where the process immediately proceeds to step 604.
  • step 604 a four finger slap image is scanned.
  • the scanned image is then processed in step 606.
  • the procedure for processing the image is further described with respect to FIG. 7.
  • step 608 each finger of the four finger slap image is separated into its own image.
  • the process then proceeds to step 610.
  • decision step 610 it is determined whether the processed image is the first image scanned. If it is the first image scanned, the process proceeds back to step 604 to scan another image.
  • step 610 if it is detennined that the processed image is not the first image, the process proceeds to step 612.
  • each individual fmge ⁇ rint is compared to a conesponding previous finge ⁇ rint. According to the results of the comparison, each finge ⁇ rint is classified in step 614. If the area and shape of the cunent finge ⁇ rints are of equal size and shape or within some threshold for good quality of the previous finge ⁇ rints, then the indicator light is illuminated green, indicating that the finge ⁇ rint is of good quality for that finger. If the area and shape of the cunent finge ⁇ rints are below the threshold for good quality, but above a threshold for bad quality, then the indicator light is illuminated amber, indicating that the finge ⁇ rint is indeterminate for that fmger.
  • Threshold levels are changeable and may be based on customer requirements. For example, one customer's requirements may be to set the good quality threshold at 90% and the bad quality threshold at 10%. Another customer's requirements may not be as stringent, only requiring the good quality threshold to be at 80% and the bad quality threshold to be at 20%.
  • each indicator is illuminated according to the classification of the finge ⁇ rint. The process then proceeds to decision step 618.
  • step 618 it is determined whether all finge ⁇ rints for the four finger slap are of good quality. If the finge ⁇ rints for each finger of the four finger slap are of good quality, the process proceeds to step 620, where a determination is made as to whether a left or right hand is being imaged. This process is described with reference to FIG. 8.
  • step 618 if the finge ⁇ rints for each finger of the four fmger slap are not of good quality, the process then returns to step 604 to scan another image. This process will repeat itself until either finge ⁇ rints of good quality for all fingers are achieved or a time-out has occu ⁇ ed. If a time-out occurs, a message is displayed to the operator indicating that the operator may switch from an automatic detection mode to a manual mode and repeat the process manually, if necessary. Alternatively, the operator may use a modified version of the program for special circumstances. Such circumstances may include, but are not limited to, a person having less than four fingers for a four finger slap.
  • finge ⁇ rint card 1000 Once good quality finge ⁇ rints are achieved for both four finger slaps and thumbs, four finger slap prints 1002, thumb prints 1004, and segmented finge ⁇ rints 1006 are placed on a finge ⁇ rint card 1000, as illustrated in FIG. 10 for a right-hand.
  • FIG. 7 is a flow diagram illustrating method 606 for processing the four fmger slap image.
  • the invention is not limited to the description provided herein with respect to flow diagram 606. Rather, it will be apparent to persons skilled in the relevant art(s) after reading the teachings provided herein that other functional flow diagrams are within the scope of the present invention.
  • the process begins with step 702, where the process immediately proceeds to step 704.
  • step 704 the scanned image is filtered to remove all high frequency content from the image.
  • a finge ⁇ rint is comprised of ridges and valleys.
  • the high frequency content of a finge ⁇ rint consists of ridge and valley transitions.
  • the image is filtered to remove all of the ridge and valley transitions. This results in an image where the ridges and valleys of the fmger are combined to indicate the outlying of the finge ⁇ rint area.
  • the process then proceeds to step 706.
  • a binarization process is performed.
  • the binarization process removes all of the gray areas and replaces them with either black or white pixels based on a black and white threshold point.
  • the process begins by taking the average gray scale value of the filtered image. This average gray scale value is refened to as the black and white threshold point. All of the pixel values above the average value are replaced with white pixels and all the pixels values equal to and below the average value are replaced with black pixels. The resulting image is comprised of all black and white pixels. The process then proceeds to step 708.
  • step 708 the finge ⁇ rint area is detected.
  • the black areas of the image are concentrated around the finge ⁇ rints.
  • the detection step detects the areas concentrated by black pixels. The process then proceeds to step 710.
  • step 710 the finge ⁇ rint shapes are detected.
  • the finge ⁇ rint shapes are oval-like shapes.
  • This detection step detects the areas concentrated by black pixels that are comprised of oval-like shapes. The process then proceeds to step 712.
  • step 712 it is determined whether the detected areas and shapes are representative of a four finger slap. If it is determined that the detected areas and shapes are not representative of the four finger slap, then the process returns to step 604 in FIG. 6 to scan another image. If it is determined that the detected areas and shapes are representative of the four finger slap, then the process proceeds to step 608 in FIG. 6 to separate the image into individual fingers.
  • indicators 502, 504, 506, and 508 may be used to indicate whether or not finge ⁇ rints are being imaged. For example, if indicators 502, 504, 506, and 508 are green, then finge ⁇ rints are being imaged. If indicators 502, 504, 506, and 508 are red, then finge ⁇ rints are not being imaged.
  • FIG. 8 is a flow diagram 620 illustrating a method for determining whether a scanned four finger slap is a right hand or a left hand.
  • the process begins with step 802, where the process immediately proceeds to step 804.
  • the orientation of the four fingers on the viewing area or finge ⁇ rint platen 204 and the separation of the ring and middle fingers by physical barrier 302 of finger guide 206 are used to determine whether the left or right hand is placed onto finge ⁇ rint platen 204 for imaging.
  • finge ⁇ rint platen 204 For optimal performance, one must place their fingers onto finge ⁇ rint platen 204 in a manner such that the largest area possible of the finge ⁇ rint image is obtained, while capturing all four fingers. In order for this to occur, one must place a four finger slap at a diagonal with the tips of the middle finger and the ring finger making contact with finger guide 206. Other positions may also be possible.
  • decision step 804 it is determined whether the detected finge ⁇ rints are at a diagonal. If the image is at a diagonal, it is then determined whether the diagonal is less than 90 degrees or greater than 90 degrees (step 806). If the diagonal is less than 90 degrees, then the left hand is being imaged (step 810). If the diagonal is more than 90 degrees, then the right hand is being imaged (step 808).
  • the invention is not limited to diagonal positioning of the four finger slap. Other positions may be possible.
  • decision step 812 it is determined whether the longest finger (i.e., the middle fmger) is on right side 306 of physical barrier 302. If the longest finger is on right side 306 of physical barrier 302, then the left-hand is being imaged (step 816). If the longest finger is not on right side 306 of physical banier 302, then the right-hand is being imaged (step 814).
  • the longest finger i.e., the middle fmger
  • decision step 812 may be altered to determine whether the pinky finger (t.e., the smallest finger) is on right side 306 of physical banier 302. If the pinky finger is on right side 306 of physical barrier 302, then the right-hand is being imaged. If the pinky finger is not on right side 306 of physical barrier 302, then the left-hand is being imaged. Alternatively, decision step 812 may search left side 304 of physical barrier 302 to determine whether the longest finger or the shortest finger can be found.

Abstract

The present invention is directed to a ten-print plain impression fingerprint workstation (100). The fingerprint workstation (100) comprises a ten-print scanner (102). The ten-print scanner (102) has a finger guide and a platen for positioning four finger slaps onto the platen. The ten-print scanner (102) also includes at least four indicators for providing real-time feedback for each finger of the fingerprint image of the four finger slaps. The fingerprint workstation (100) also includes a computer (104), interfaced to a ten-print scanner (102) via a communication link (120), for controlling the ten-print scanner (102).

Description

Fingerprint Workstation and Methods
Background of the Invention
Field of the Invention
The present invention is generally related to biometric imaging systems. More particularly, the present invention is related to a fingerprint imaging system.
Related Art
Biometrics is a science involving the analysis of biological characteristics. Biometric imaging captures a measurable characteristic of a human being for identity purposes. See, e.g., Gary Roethenbaugh, Biometrics Explained, International Computer Security Association, Inc., pp. 1-34 (1998), which is incorporated herein by reference in its entirety.
One type of biometric imaging system is an Automatic Fingeφrint Identification System (AFIS). Automatic Fingeφrint Identification Systems are used for law enforcement puφoses. Law enforcement personnel collect fingeφrint images from criminal suspects when they are arrested.
One type of AFIS input device is a ten-print scanner. Typically, ten-print scanners require each finger to be imaged using a roll print. Each finger is identified prior to imaging, such as, for example, right hand thumb, right hand ring fmger, left hand middle fmger, etc. This enables the system to know whether the left or right hand is being imaged and to know where to place the imaged fingeφrint on a fingeφrint card. This process of rolling each finger to obtain fingeφrints and thumb prints during an arrest or background check is a relatively complex and time consuming process.
Also, ten-print scanners are usually custom-made consoles. Such consoles contain built-in equipment, such as a monitor, a keyboard, a pointing device, and at least one processor, for processing and viewing fingeφrint images. Custom-made consoles are very expensive, and thus, are manufactured at low volume rates. Custom-made consoles are also burdened with high maintenance costs. When the console malfunctions, the entire system is inoperable.
What is needed is a fingeφrint workstation designed for capturing plain impression fingeφrints. What is also needed is an affordable fingeφrint workstation that requires reduced complexity relative to a rolled print workstation, yet provides data and fingeφrint image integrity based on Federal Bureau of Investigation (FBI) certification standards. What is further needed is a fingeφrint workstation that captures four simultaneous fingeφrint impressions as a single image, segments the single image to create four separate images, and automatically determines whether the single image is a left or right hand image.
Summary of the Invention
The present invention solves the above-mentioned problems by providing a ten-print plain impression fingeφrint workstation that ensures data and fingeφrint image integrity as well as adheres to FBI certification standards. The present invention captures four simultaneous fingeφrint impressions as a single image and segments the single image to create four separate images. The present invention also distinguishes between the left and right hand.
Briefly stated, the present invention is directed to a ten-print plain impression fingeφrint workstation. The fingeφrint workstation comprises a ten- print scanner. The ten-print scanner has a finger guide and a platen for positioning four finger slaps onto the platen. The ten-print scanner also includes at least four indicators for providing real-time feedback for each finger of a fingeφrint image of the four finger slaps. The fingeφrint workstation also includes a computer, interfaced to the ten-print scanner via a communication link, for controlling the ten-print scanner.
Further embodiments, features, and advantages of the present invention, as well as the structure and operation of the various embodiments of the present invention, are described in detail below with reference to the accompanying drawings.
Brief Description of the Figures
The accompanying drawings, which are incoφorated herein and form part of the specification, illustrate the present invention and, together with the description, further serve to explain the principles of the invention and to enable a person skilled in the pertinent art(s) to make and use the invention.
FIG. 1A is a high level block diagram illustrating a fingeφrint workstation according to one embodiment of the present invention.
FIG. IB is a diagram of an exemplary computer system.
FIG. 1 C is a block diagram illustrating an exemplary electrical system for a fingeφrint workstation according to an embodiment of the present invention.
FIG. 2 is a diagram illustrating a ten-print scanner according to one embodiment of the present invention.
FIG. 3 is a diagram illustrating a finger guide and a platen for a fingeφrint workstation according to an embodiment of the present invention.
FIG. 4A is a diagram illustrating left-hand positioning on a finger guide of a fingeφrint workstation according to an embodiment of the present invention.
FIG.4B is a diagram illustrating right-hand positioning on a finger guide of a fingeφrint workstation according to an embodiment of the present invention.
FIG. 4C is a diagram illustrating thumb positioning of a finger guide of a fingeφrint workstation according to an embodiment of the present invention.
FIG. 5 is a diagram illustrating feedback indicators for a fingeφrint workstation according to an embodiment of the present invention.
FIG. 6 is a flow diagram illustrating a method for determining the quality of individual fingeφrints according to an embodiment of the present invention.
FIG. 7 is a flow diagram illustrating a method for processing four fmger slap images. FIG. 8 is a flow diagram illustrating a method for determining whether a scanned four finger slap is a right hand or a left hand.
FIG. 9 is a block diagram illustrating an electrical/optical system of a ten- print scanner according to an embodiment of the present invention.
FIG. 10 is a diagram illustrating the placement of fingeφrints onto a fingeφrint card.
FIG. 11 is a diagram illustrating a 90 degree cross section of an exemplary optical system according to an embodiment of the present invention.
FIG. 12 is a diagram illustrating an exemplary illumination system according to an embodiment of the present invention.
The features and advantages of the present invention will become more apparent from the detailed description set forth below when taken in conjunction with the drawings in which like reference characters identify corresponding elements throughout. In the drawings, like reference numbers generally indicate identical, functionally similar, and/or structurally similar elements. The drawings in which an element first appears is indicated by the leftmost digit(s) in the corresponding reference number.
Detailed Description of the Preferred Embodiments
While the present invention is described herein with reference to illustrative embodiments for particular applications, it should be understood that the invention is not limited thereto. Those skilled in the art(s) with access to the teachings provided herein will recognize additional modifications, applications, and embodiments within the scope thereof and additional fields in which the present invention would be of significant utility. Overview
The present invention is a fingeφrint workstation for fingeφrint applications. The fingeφrint workstation provides simplicity when fingeφrinting applicants for submission to background checks. This is accomplished by providing four finger slap impressions in a single image. A simultaneous impression of the four fingers from one hand are captured as a single image and automatically segmented to create four separate images. After the fingeφrints from the four fingers from both hands are captured, thumb prints from both hands are captured simultaneously. Each individual extracted image is placed within the corresponding fingeφrint box on a fingeφrint card. Proper sequencing is performed using both software analysis and physical properties of a platen having a finger guide. The image size for the four finger slap images are 1600 by 1000 pixels. The segmented plain digit size is 800 by 750 pixels, and the plain thumb images are 500 by 1000 pixels. Fingeφrint images are presented on a workstation screen, such as a monitor for a personal computer, for real time quality checks and ease of correction. The fingeφrint workstation uses slap impressions, rather than traditional rolled impressions, to speed up the process of applicant processing and simplify the task of capturing quality prints.
The fingeφrint workstation provides long sustained use at an affordable cost. Affordability is achieved through many different factors. One such factor is the mechanical simplicity and reduced complexity of the workstation. The fingeφrint workstation is designed for plain impression fingeφrint capture. This alone provides a reduction in complexity relative to a rolled print design.
Another factor is the employment of an improved illumination system within the fingeφrint workstation. For example, the illumination system provides excellent uniformity performance. The illumination system is thermally stabilized and generates little or no heat, thus creating a more efficient light source. Also, the illumination light wavelength is selected to maximize fingeφrint information and definition, thereby improving the quality of a fingeφrint when dealing with overly wet or dry fingers to be fingeφrinted.
Other factors that contribute to affordability include the ability to produce the workstation in high volume, a custom set of electronics and optics, the incoφoration of a magnetic card scanner into the workstation for reduced enrollment times and less data errors, a replaceable silicone pad platen for reducing image rejections, a real-time quality control feedback system for reducing the time spent in fingeφrint acquisition, and an ergonomic case and platen design for facilitating fingeφrint capture and ease of use.
FIG. 1A is a high level block diagram illustrating a fingeφrint workstation 100 according to one embodiment of the present invention. Fingeφrint workstation 100 comprises a ten-print scanner 102, a computer 104, and an interface cable 120. Interface cable 120 is a 1394 serial interface bus for interfacing ten-print scanner 102 with computer 104. 1394 is an IEEE standard for a high performance serial bus designed to provide high speed data transfers. 1394 is a cost-effective way to share real-time information from data intensive applications, such as cameras, camcorders, VCRs, video disks, scanners, etc.
Computer 104 may be any commercial off-the-shelf computer. For example, computer 104 may be a personal computer (PC). An example implementation of computer 104 is shown in FIG. IB. Various embodiments are described in terms of this exemplary computer 104. After reading this description, it will be apparent to a person skilled in the relevant art how to implement the invention using other computer systems and/or computer architectures. Computer 104 may include one or more processors, such as processor 122. Processor 122 is connected to a communication bus 124.
Computer 104 also includes a main memory 126, preferably random access memory (RAM), and may also include a secondary memory 128. Secondary memory 128 may include, for example, a hard disk drive 130 and/or a removable storage drive 132, representing a floppy disk drive, a magnetic tape drive, an optical disk drive, etc. Removable storage drive 132 reads from and/or writes to a removable storage unit 134 in a well-known manner. Removable storage unit 134, represents a floppy disk, magnetic tape, optical disk, etc., which is read by and written to by removable storage drive 132. As will be appreciated, removable storage unit 134 includes a computer usable storage medium having stored therein computer software and/or data.
In alternative embodiments, secondary memory 128 may include other similar means for allowing computer programs or other instructions to be loaded into computer 104. Such means may include, for example, a removable storage unit 136 and an interface 138. Examples of such may include a program cartridge and cartridge interface (such as that found in video game devices), a removable memory chip (such as an EPROM, or PROM) and associated socket, and other removable storage units 136 and interfaces 138 which allow software and data to be transferred from the removable storage unit 136 to computer 104.
Computer 104 may also include a communications interface 140. Communications interface 140 allows software and data to be transferred between computer 104 and external devices. Examples of communications interface 140 may include a modem, a network interface (such as an Ethernet card), a communications port, a PCMCIA slot and card, a wireless LAN (local area network) interface, etc. Software and data transferred via communications interface 140 are in the form of signals 142 which may be electronic, electromagnetic, optical, or other signals capable of being received by communications interface 140. These signals 142 are provided to communications interface 140 via a communications path (i.e., channel) 144. This channel 144 carries signals 142 and may be implemented using wire or cable, fiber optics, a phone line, a cellular phone link, a wireless link, and other communications channels.
In this document, the term "computer program product" refers to removable storage units 134, 136, and signals 142. These computer program products are means for providing software to computer 104. The invention is directed to such computer program products. Computer programs (also called computer control logic) are stored in main memory 126, and/or secondary memory 128 and/or in computer program products. Computer programs may also be received via communications interface 140. Such computer programs, when executed, enable computer 104 to perform the features of the present invention as discussed herein. In particular, the computer programs, when executed, enable processor 122 to perform the features of the present invention. Accordingly, such computer programs represent controllers of computer 104.
In an embodiment where the invention is implemented using software, the software maybe stored in a computer program product and loaded into computer 104 using removable storage drive 132, hard drive 130 or communications interface 140. The control logic (software), when executed by processor 122, causes processor 122 to perform the functions of the invention as described herein.
In another embodiment, the invention is implemented primarily in hardware using, for example, hardware components such as application specific integrated circuits (ASICs). Implementation of hardware state machine(s) so as to perform the functions described herein will be apparent to persons skilled in the relevant art(s).
In yet another embodiment, the invention is implemented using a combination of both hardware and software.
The use of scanner 102, computer 104, and 1394 serial bus 120 versus a console configuration for an AFIS system reduces the overall system cost while providing high-speed data transfers. Current 1394 interfaces support serial transmission speeds up to 400 Mbps.
Returning to FIG. 1A, ten-print scanner 102 provides four finger slap impressions in a single image. A simultaneous impression of the four fingers from one hand are captured as a single image and automatically segmented to create four separate images. After the four fingers from both hands are captured, thumb prints from both hands are captured simultaneously. Each individual extracted image is placed within the corresponding fingeφrint box on a fingeφrint card. Proper sequencing is performed using both software analysis and physical properties of a platen having a fmger guide. Fingeφrint images are presented on a monitor associated with computer 104 for real time quality checks and ease of correction.
Ten-print scanner 102 comprises an electrical system 102 A and an optical system 102B. The combination of electrical system 102A and optical system 102B provides electro-optical technology for capturing plain impression fingeφrints. Electrical system 102 A provides power to ten-print scanner 102, controls status signals for various components internal to ten-print scanner 102, controls all input/output signals between components internal to ten-print scanner 102, and controls input/output signals between ten-print scanner 102 and computer 104 via IEEE 1394 interface cards 108 and 106, respectively. Optical system 102B enables scanner 102 to illuminate an area of a platen for receiving a finger or fingers, measure the reflected light optically, and convert the resulting signals into a fingeφrint image.
The Electrical System
FIG. IC is a diagram illustrating one embodiment of electrical system 102 A. Electrical system 102 A comprises an interface board 150, two digital camera boards 152, an illuminator/prism heater board 154, an indicator board 156, and a magnetic-stripe reader 158. Interface board 150 is coupled to digital camera boards 152, illuminator/prism heater board 154, indicator board 156, and magnetic-stripe reader 158. Interface board 150 also interfaces each of boards 152, 154, and 156, and magnetic-stripe reader 158 to computer 104.
Interface board 150 comprises a controller 160, a digital camera interface 162, a magnetic-stripe reader RS-232 serial interface 164, a 2D barcode RS-232 serial interface 166, EEEE-1394 interface 108, and a power supply interface 168. Controller 160 is coupled to digital camera interface 162, illuminator/prism heater board 154, indicator board 156, magnetic-stripe reader RS-232 serial interface 164, 2D barcode RS-232 serial interface 166, and IEEE-1394 interface 108.
Controller 160 and IEEE-1394 interface 108 provide a communication link between ten-print scanner 102 and computer 104. In embodiments, controller 160 may be any one of a microprocessor, a microcomputer, a microcontroller, etc. In one embodiment, controller 160 maybe used to control digital cameras mounted on digital camera boards 152, a light source 170 used in optical system 102B, a prism heater 172 used to remove unwanted moisture from a platen, indicators used to indicate power status, card swipe status, and quality of fingeφrint status, magnetic-swipe reader 158, and an external 2D barcode reader 174 that may be attached to scanner 102 via 2D barcode RS-232 serial interface 166. In another embodiment, both controller 160 and computer 104 are used to control the digital cameras, light source 170, prism heater 172, power/card swipe/fingeφrint quality indicators, magnetic-swipe reader 158, and external 2D barcode reader 174. In yet another embodiment, computer 104 is used to control the digital cameras, light source 170, prism heater 172, power/card swipe/fmgeφrint quality indicators, magnetic-swipe reader 158, and external 2D barcode reader 174, and controller 160 is used as a conduit.
2D barcode reader 174 and magnetic-stripe reader 158 may be any off the shelf serial devices used to scan bar codes and data from documents, respectively. Bar codes and documents may include, but are not limited to, identification information, account information, fingeφrint code information, etc. 2D barcode reader 174 is coupled to controller 160 via 2D barcode RS-232 serial interface 166. Magnetic-stripe reader 158 is coupled to controller 160 via magnetic-stripe RS-232 serial interface 164.
The use of 2D barcode reader 174 and magnetic-stripe reader 158 reduce enrollment times and result in less data errors. For example, 2D barcode 174 and/or magnetic-stripe reader 158 may be used in conjunction with a user interface to simplify demographic data entry. Demographic information swiped from magnetic-stripe reader 158 or 2D barcode reader 174 may be sent to controller 160 via interfaces 164 and 166, respectively, and controller 160 will transmit the information to computer 104 via IEEE-1394 interface 108.
Although not specifically shown in FIG. IC, power supply interface 168 supplies power to all of the components within ten-print scanner 102 and interfaces to an external 12-volt power supply 180.
Digital camera interface 162 couples to controller 160 via a serial connection. Digital camera interface 162 is also connected to digital camera boards 152 to provide electronics for clocking data to and from digital cameras mounted onto digital camera boards 152. Controller 160 may send control signals to each camera serially via digital camera interface 162. Digital camera interface 162 is also connected to IEEE-1394 interface 108 for sending 16-bit image data from the cameras mounted on digital camera boards 152 to computer 104.
Illuminator/prism heater board 154 is coupled to controller 160 via a serial interface. Controller 160 controls different zones of light source 170 in the illumination system of optical system 102B. The light source is an illumination source array. The illumination source array is divided into zones. In one embodiment, a plurality of sources are divided into at least three groups in at least three respective zones. The intensity of each group of sources is independently controlled by controller 160 relative to other groups such that a flat, uniform illumination is provided to the platen. Use of such zones simplifies control while still retaining sufficient flexibility to adjust the relative intensity of the light source groups to ensure flat, uniform illumination is provided to the platen. A more detailed description of the illumination source array and its division into zones is found in "Systems and Methods For Illuminating A Platen In A Print Scanner," U.S. Provisional Patent Application Serial No. TBD (Attorney Docket No. 1823.0570000), by Arnold et al, which is incoφorated herein by reference in its entirety.
Water vapor that condenses onto a fingeφrint platen surface of a prism may cause an undesirable fingeφrint image called a halo. To prevent this from occurring, the fingeφrint platen of scanner 102 is heated to remove water vapor that condenses onto the platen surface of the prism or to prevent such water vapor from forming. A system and method for heating the platen using heating elements attached to the sides of a prism is described in "Platen Heaters For Biometric Image Capture Devices," U.S. Provisional Patent Application Serial No. TBD (Attorney Docket No. 1823.0550000), by Carver et al, filed concurrently herewith and incoφorated by reference herein in its entirety. In one embodiment, controller 160 controls trip point limits for turning heating elements on and off when heating the fingeφrint platen. Controller 160 also monitors the temperature of the fingeφrint platen via a thermostat controller. In one embodiment, this information maybe transmitted to computer 104 via IEEE 1394 interface 108.
Ten-print scanner 102 provides real-time feedback of fingeφrint quality. This is accomplished using fingeφrint quality indicators. Fingeφrint quality indicators (shown in FIG. 2) provide feedback to the user to indicate whether an appropriate level of fingeφrint quality has been achieved. Fingeφrint quality indicators include four indicators, one for each fmger of the four fmger slap being scanned. Fingeφrint quality indicators and the process used for determining the quality of each fingeφrint is discussed in more detail below.
Indicator board 156 is coupled to controller 160 via a serial input/output connection. Controller 160 provides control signals to indicator board 156 for illuminating indicators, such as LEDs (light emitting diodes) to indicate whether the quality of a particular fingeφrint for a particular fmger is good or bad. Controller 160 also provides a control signal for indicating that the system is powered-ON and control signals indicating whether a card swipe from magnetic- stripe reader 158 or 2D barcode reader 174 is successful. For example, if a card swipe is not successful, a CARD LED located on scanner 102 will be illuminated RED indicating that the card must be swiped again. Alternatively, if the card swipe is successful, the CARD LED will be illuminated GREEN. The Optical System
FIG. 9 is a block diagram illustrating scanner optical system 102B often print scanner 102. Scanner optical system 102B comprises an illumination system 902, a prism 904, optical systems 906 and 908, and two cameras 910 and 912. As previously stated, one side of prism 904 is used as platen 204 and includes fmger guide 206. Illumination system 902 illuminates the underside of platen 204. Finger guide 206 is separated into left side 304 and right side 306. In one embodiment, camera 910, in combination with optical system 906, is used to detect an image of the fingers placed on the left side 304 of fmger guide 206 and camera 912, in combination with optical system 908, is used to detect an image of the fingers placed on the right side 306 of finger guide 206. Digital cameras 910 and 912 can be any solid state digital camera, such as a CCD or CMOS camera. In one example, digital cameras 910 and 912 may be provided on digital camera boards 152 described in FIG. IC.
A 90 degree cross section of an exemplary optical system, such as, for example, optical system 906 or 908, is shown in FIG. 11. Optical system 1100 shows prism 904, an optical housing 1102, and camera 910 or 912. Optical housing 1102 is coupled to prism 904 at one end and to camera 910 or 912 using a focus mount 1116 at the opposite end. Optical housing 1102 includes, inter alia, a first lens element 1104, a fold mirror 1106, a second lens element 1108, a third lens element 1110, a fourth lens element 1112, and an aperture stop 1114.
A biometric object, such as a finger or fingers, placed on prism 904 for imaging, is focused through first lens element 1104 and reflected off of fold mirror 1106. Aperture stop 1114 is used to limit light passing through optical system 906 or 908 such that only light rays traveling within a range of angles at or near a direction along an optical axis are detected. The reflected image is then focused through second, third, and fourth lens elements 1108, 1110, and 1112 for detection by camera 910 or 912. First and second lens elements 1104 and 1108 are comprised of convex disks made of SF3 glass and LaKlO glass, respectively. Third lens element 1110 is comprised of concave disks made of SF8 glass and fourth lens element 1112 is comprised of concave and convex disks made of SKI 6 glass. Although lens elements 1104, 1108, 1110, and 1112 are comprised of glass, they are not limited to glass. In fact, lens 1104, 1108, 1110, and 1112 can be made of any transparent material that can focus light rays and form images by refraction.
An exemplary illumination system, such as illumination system 902, is shown in FIG. 12. In one embodiment, illumination system 902 includes an illumination source array 1202, a light wedge 1204, and a diffuser 1206. Illumination source array 1202 illuminates an end region of light wedge 1204. Light wedge 1204 then internally reflects light and sends it to diffuser 1206 prior to entering prism 904. The light from illumination source array 1202 can be any single wavelength or narrowband of wavelengths such as infra-red, visible or ultraviolet light. In one example, blue/green light having a wavelength of approximately 510 nm is used. Illumination system 902 is further described in "Systems and Methods For Illuminating A Platen In A Print Scanner," U.S. Provisional Patent Application Serial No. TBD (Attorney Docket No. 1823.0570000), by Arnold et al, and is incoφorated herein by reference in its entirety.
Finger Guide and Platen
FIG. 2 is a diagram illustrating an embodiment often-print scanner 102. A housing 202 for ten-print scanner 102 is constructed of impact resistant injection molded polycarbonate. One skilled in the relevant art(s) would know that other types of housings could be used without departing from the scope of the invention. Ten-print scanner 102 shows a fingeφrint platen 204, a fmger guide 206, fingeφrint quality indicators 208, a power indicator 210, and a card indicator 212. Ten-print scanner 102 also shows magnetic-stripe reader 158 located at the top of ten-print scanner 102. Fingeφrint quality indicators 208 are located directly above finger guide 206. Power indicator 210 is illuminated when power is applied to scanner 102 via external 12-volt power supply 180. Card indicator 212 is illuminated green when a card swipe is successful and red when a card swipe is unsuccessful.
Fingeφrint platen 204 is a receiving surface for placement of the four finger slaps and the thumbs during fingeφrinting. In one embodiment, platen 204 is one side of a prism (not shown). In another embodiment, platen 204 is one side of a prism with an optical quality silicone rubber sheet placed on top. The optical quality silicone rubber sheet is replaceable. Optical quality silicone rubber platens provide adequate surface quality to optimize image enhancements as well as protect the optical surface. Optical quality silicone rubber platens are further described in U.S. Provisional Patent Application No. 60/292,341, "Silicone Rubber Surfaces for Biometric Print ΗR Prisms," filed May 22, 2001 , and U.S. Provisional Patent Application No. 60/286,373, "Silicone Rubber Surfaces for Biometric Print TIR Prisms," filed April 26, 2001 , both of which are incoφorated by reference herein in their entireties.
Finger guide 206 is located along the sides and the top of fmgeφrint platen 204. Finger guide 206 is a mechanism for locating and separating the four finger slap to provide accurate and efficient placement of fingers. Finger guide 206 also provides a physical barrier that facilitates the identification of either a right or left hand using post software analysis of the four finger slap fingeφrint images.
FIG.3 is a diagram illustrating finger guide 206 and fingeφrint platen 204 for fingeφrint workstation 100 according to an embodiment of the present invention. As previously stated, one side of a prism is used as fingeφrint platen 204. Fingeφrint platen 204 includes an optical quality silicone rubber sheet attached to the side of the prism used as the platen. The optical silicone pad may be easily removed and replaced by operating personnel when needed. The size of the active fingeφrint platen area 204 is 2.05 by 3.6 inches at 500 dpi. Finger guide 206 includes a physical barrier 302 positioned along the middle of the top of finger guide 206. Physical barrier 302 is used to separate the four finger slap. Two fingers of the four finger slap are placed on a left side 304 of physical barrier 302 while the other two fingers of the four finger slap are placed on a right side 306 of physical barrier 302.
FIG. 4A is a diagram illustrating four finger placement of a left hand on fingeφrint platen 204 and finger guide 206. As is shown in FIG. 4A, when the left hand is placed onto platen 204, finger guide 206 physically separates the ring fmger and the middle finger of the left hand. Finger guide 206 is designed so that when the tips of the middle and ring fingers make contact with finger guide 206, the four fingers are positioned coπectly in the viewing area. This forces the four fingers to have a diagonal orientation. This is also true for a right hand positioned onto fingeφrint platen 204, as shown in FIG. 4B. Based on the orientation of the four fingers on the viewing area and the separation of the ring and middle fingers on fmger guide 206, a determination can be made as to whether the left or right hand is placed onto fingeφrint platen 204. The process for determining whether a left or right hand is being imaged is described below with reference to FIGs. 6, 7, and 8. FIG. 4C is a diagram illustrating the placement of the thumbs onto fingeφrint platen 204. When thumb prints are captured, the left thumb is placed on left side 304 of finger guide 206 and the right thumb is placed on right side 306 of finger guide 206.
Real-Time Feedback Quality Indicators
The present invention provides feedback of real-time individual fingeφrint quality to the user. Providing real-time fingeφrint quality feedback simplifies the use of fingeφrint workstation 100 and facilitates capturing of the best possible fingeφrints.
FIG. 5 is a diagram illustrating feedback indicators 208 for fingeφrint workstation 100. An indicator (502, 504, 506, and 508) is assigned to each fmger of the four finger slap being scanned. For example, if a left hand is placed on fingeφrint platen 204, indicator 502 conesponds to pinky finger 510, indicator 504 conesponds to ring finger 512, indicator 506 conesponds to middle finger 514, and indicator 508 conesponds to pointer fmger 516. If a right hand is placed on fingeφrint platen 204, indicator 502 conesponds to pointer finger 516, indicator 504 conesponds to middle finger 514, indicator 506 conesponds to ring fmger 512, and indicator 508 conesponds to pinky finger 510.
Each image frame is processed to determine the quality of the individual fingeφrint. After determining the quality of each individual finger, the conesponding indicators 502, 504, 506, and 508 provide feedback to the user for possible coπections or re-positioning of fingers 510, 512, 514, and 516 on fingeφrint platen 204 so that an appropriate level of fingeφrint quality can be achieved. For example, one embodiment may use multi-color LEDs for indicators 502, 504, 506, and 508. In such an embodiment, a red LED may indicate poor quality, a green LED may indicate acceptable quality, and an amber LED may indicate indeterminate quality. In another embodiment, indicators 502, 504, 506, and 508 may be bar graph LED indicators, wherein the level of the bar indicates quality acceptance.
FIG. 6 is a flow diagram 600 illustrating a method for determining the quality of individual fingeφrints according to an embodiment of the present invention. The invention is not limited to the description provided herein with respect to flow diagram 600. Rather, it will be apparent to persons skilled in the relevant art(s) after reading the teachings provided herein that other functional flow diagrams are within the scope of the present invention. The process begins with step 602, where the process immediately proceeds to step 604.
In step 604, a four finger slap image is scanned. The scanned image is then processed in step 606. The procedure for processing the image is further described with respect to FIG. 7.
In step 608, each finger of the four finger slap image is separated into its own image. The process then proceeds to step 610. In decision step 610, it is determined whether the processed image is the first image scanned. If it is the first image scanned, the process proceeds back to step 604 to scan another image.
Returning back to decision step 610, if it is detennined that the processed image is not the first image, the process proceeds to step 612.
In step 612, each individual fmgeφrint is compared to a conesponding previous fingeφrint. According to the results of the comparison, each fingeφrint is classified in step 614. If the area and shape of the cunent fingeφrints are of equal size and shape or within some threshold for good quality of the previous fingeφrints, then the indicator light is illuminated green, indicating that the fingeφrint is of good quality for that finger. If the area and shape of the cunent fingeφrints are below the threshold for good quality, but above a threshold for bad quality, then the indicator light is illuminated amber, indicating that the fingeφrint is indeterminate for that fmger. If the area and shape of the cunent fingeφrint is at or below the threshold for bad quality, then the indicator light is illuminated red, indicating that the fingeφrint is of bad quality. Threshold levels are changeable and may be based on customer requirements. For example, one customer's requirements may be to set the good quality threshold at 90% and the bad quality threshold at 10%. Another customer's requirements may not be as stringent, only requiring the good quality threshold to be at 80% and the bad quality threshold to be at 20%.
In step 616, each indicator is illuminated according to the classification of the fingeφrint. The process then proceeds to decision step 618.
In decision step 618, it is determined whether all fingeφrints for the four finger slap are of good quality. If the fingeφrints for each finger of the four finger slap are of good quality, the process proceeds to step 620, where a determination is made as to whether a left or right hand is being imaged. This process is described with reference to FIG. 8.
Returning to decision step 618, if the fingeφrints for each finger of the four fmger slap are not of good quality, the process then returns to step 604 to scan another image. This process will repeat itself until either fingeφrints of good quality for all fingers are achieved or a time-out has occuπed. If a time-out occurs, a message is displayed to the operator indicating that the operator may switch from an automatic detection mode to a manual mode and repeat the process manually, if necessary. Alternatively, the operator may use a modified version of the program for special circumstances. Such circumstances may include, but are not limited to, a person having less than four fingers for a four finger slap.
Once good quality fingeφrints are achieved for both four finger slaps and thumbs, four finger slap prints 1002, thumb prints 1004, and segmented fingeφrints 1006 are placed on a fingeφrint card 1000, as illustrated in FIG. 10 for a right-hand.
FIG. 7 is a flow diagram illustrating method 606 for processing the four fmger slap image. The invention is not limited to the description provided herein with respect to flow diagram 606. Rather, it will be apparent to persons skilled in the relevant art(s) after reading the teachings provided herein that other functional flow diagrams are within the scope of the present invention. The process begins with step 702, where the process immediately proceeds to step 704.
In step 704, the scanned image is filtered to remove all high frequency content from the image. A fingeφrint is comprised of ridges and valleys. The high frequency content of a fingeφrint consists of ridge and valley transitions. The image is filtered to remove all of the ridge and valley transitions. This results in an image where the ridges and valleys of the fmger are combined to indicate the outlying of the fingeφrint area. The process then proceeds to step 706.
In step 706, a binarization process is performed. The binarization process removes all of the gray areas and replaces them with either black or white pixels based on a black and white threshold point. In one embodiment, the process begins by taking the average gray scale value of the filtered image. This average gray scale value is refened to as the black and white threshold point. All of the pixel values above the average value are replaced with white pixels and all the pixels values equal to and below the average value are replaced with black pixels. The resulting image is comprised of all black and white pixels. The process then proceeds to step 708.
In step 708, the fingeφrint area is detected. Usually, the black areas of the image are concentrated around the fingeφrints. The detection step detects the areas concentrated by black pixels. The process then proceeds to step 710.
In step 710, the fingeφrint shapes are detected. The fingeφrint shapes are oval-like shapes. This detection step detects the areas concentrated by black pixels that are comprised of oval-like shapes. The process then proceeds to step 712.
In step 712, it is determined whether the detected areas and shapes are representative of a four finger slap. If it is determined that the detected areas and shapes are not representative of the four finger slap, then the process returns to step 604 in FIG. 6 to scan another image. If it is determined that the detected areas and shapes are representative of the four finger slap, then the process proceeds to step 608 in FIG. 6 to separate the image into individual fingers.
Returning to FIG. 5, in yet another embodiment of the present invention, indicators 502, 504, 506, and 508 may be used to indicate whether or not fingeφrints are being imaged. For example, if indicators 502, 504, 506, and 508 are green, then fingeφrints are being imaged. If indicators 502, 504, 506, and 508 are red, then fingeφrints are not being imaged.
FIG. 8 is a flow diagram 620 illustrating a method for determining whether a scanned four finger slap is a right hand or a left hand. The invention is not limited to the description provided herein with respect to flow diagram 620. Rather, it will be apparent to persons skilled in the relevant art(s) after reading the teachings provided herein that other functional flow diagrams are within the scope of the present invention. The process begins with step 802, where the process immediately proceeds to step 804. As previously stated, the orientation of the four fingers on the viewing area or fingeφrint platen 204 and the separation of the ring and middle fingers by physical barrier 302 of finger guide 206 are used to determine whether the left or right hand is placed onto fingeφrint platen 204 for imaging. For optimal performance, one must place their fingers onto fingeφrint platen 204 in a manner such that the largest area possible of the fingeφrint image is obtained, while capturing all four fingers. In order for this to occur, one must place a four finger slap at a diagonal with the tips of the middle finger and the ring finger making contact with finger guide 206. Other positions may also be possible.
In decision step 804, it is determined whether the detected fingeφrints are at a diagonal. If the image is at a diagonal, it is then determined whether the diagonal is less than 90 degrees or greater than 90 degrees (step 806). If the diagonal is less than 90 degrees, then the left hand is being imaged (step 810). If the diagonal is more than 90 degrees, then the right hand is being imaged (step 808).
Although placing one's fingers at a diagonal may be an optimal position, the invention is not limited to diagonal positioning of the four finger slap. Other positions may be possible.
Returning to decision step 804, if it is determined that the fingeφrints are not at a diagonal, then the process proceeds to decision step 812.
In decision step 812, it is determined whether the longest finger (i.e., the middle fmger) is on right side 306 of physical barrier 302. If the longest finger is on right side 306 of physical barrier 302, then the left-hand is being imaged (step 816). If the longest finger is not on right side 306 of physical banier 302, then the right-hand is being imaged (step 814).
In an alternative embodiment, decision step 812 may be altered to determine whether the pinky finger (t.e., the smallest finger) is on right side 306 of physical banier 302. If the pinky finger is on right side 306 of physical barrier 302, then the right-hand is being imaged. If the pinky finger is not on right side 306 of physical barrier 302, then the left-hand is being imaged. Alternatively, decision step 812 may search left side 304 of physical barrier 302 to determine whether the longest finger or the shortest finger can be found.
Conclusion
While specific embodiments of the present invention have been described above, it should be understood that they have been presented by way of example only, and not limitation. It will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined in the appended claims. Thus, the breadth and scope of the present invention should not be limited by any of the above-described exemplary embodiments, but should be defined only in accordance with the following claims and their equivalents.

Claims

What Is Claimed Is:
1. A method comprising:
(a) scanning a print image;
(b) processing the scanned image;
(c) separating the processed image into individual fingeφrint images;
(d) comparing the print image to a previously scanned print image;
(e) quality classifying the separated images;
(f) indicating a quality classification of the print image based on the classifying step; and
(g) determining whether the print image is of a good quality.
2. The method of claim 1, further comprising: determining how many print images have been scanned, wherein when the print image is a first image scanned, the method repeats steps (a)-(c) and the determining step before performing steps (d)-(g).
3. The method of claim 1, further comprising: determining how many print images have been scanned, wherein when the print image is not the first image scanned, the method continues onto steps (d)-(g).
4. The method of claim 1, wherein the processing step (b) comprises: (bl) filtering the print image;
(b2) binarizing the filtered image;
(b3) detecting a fingeφrint area based on the binarized image;
(b4) detecting a fingeφrint shape based on the binarized image; and
(b5) determining whether the fingeφrint area and shape are acceptable.
5. The method of claim 4, wherein when the determining step (b5) determines the fingeφrint area and shape are acceptable, then the method continues onto step (c).
6. The method of claim 4, wherein when the determining step (b5) determines the fingeφrint area and shape are unacceptable, then the method returns to the scanning step (a).
7. The method of claim 1 , wherein when the determining step (g) determines the image is of a good quality, the method further comprises:
(h) determining whether the print images is based on a left or a right hand.
8. The method of claim 7, wherein the determining step (h) comprises: (hi) determining whether the print image data represents at least one finger that is positioned at a diagonal with respect to a section of a platen.
9. The method of claim 8, wherein when the determining step (hi) determines the finger is at a diagonal, the method further comprises:
(h2a) determining whether the diagonal is greater than 90°.
10. The method of claim 9, wherein when the determining step (h2a) determines the diagonal is greater than 90°, an output indicates the print image is from a right hand.
11. The method of claim 9, wherein when the determining step (h2a) determines the diagonal is less than 90°, an output indicates the print image is from a left hand.
12. The method of claim 8, wherein when the determining step (hi) determines the finger is not at a diagonal, the method further comprises:
(h2b) determining whether a longest finger is on a right side of a finger guide.
13. The method of claim 12, wherein when the determining step (h2b) determines the longest fmger is on the right side of the finger guide, an output indicates the print image is from a left hand.
14. The method of claim 12, wherein when the determining step (h2b) determines the longest finger is on a left side of the finger guide, an output indicates the print image is from a right hand.
15. The method of claim 1 , wherein when the determining step (g) determines the image is of a bad quality, the method further comprises determining whether a predetermined time period has expired.
16. The method of claim 15 , wherein when the predetermined time period has expired, an output is generated indicating that a user can switch to a manual mode.
17. The method of claim 15, wherein when the predetermined period is unexpired, the method returns to the scanning step (a).
18. The method of claim 4, wherein the determining step (b5) compares previous acceptable images to the binarized image to determine acceptability.
19. A method comprising:
(a) scanning a print image;
(b) filtering the print image;
(c) binarizing the filtered image;
(d) detecting a fingeφrint area based on the binarized image;
(e) detecting a fingeφrint shape based on the binairized image; and
(f) determining whether the fingeφrint area and shape are acceptable.
20. The method of claim 19, wherein when the determining step (f) determines the fingeφrint area and shape are acceptable, then the method further comprises:
(g) separating the print image into individual fingers.
21. The method of claim 19, wherein when the determining step (f) determines the fingeφrint area and shape are unacceptable, then the method returns to the scanning step (a).
22. The method of claim 19, wherein the determining step (f) compares previous acceptable images to the binarized image to determine acceptability.
23. A method of processing fingeφrints, the method comprising:
(a) scanning a print image of at least one finger placed on a platen; and
(b) determining whether the scanned print image includes data representative of at least one finger positioned at a diagonal relative to a section of the platen.
24. The method of claim 23, wherein when the determining step (b) determines the finger is at a diagonal, the method further comprises:
(cl) determining whether the diagonal is greater than 90°.
25. The method of claim 24, wherein when the determining step (cl) determines the diagonal is greater than 90°, an output indicates the print image is from a right hand.
26. The method of claim 24, wherein when the determining step (cl) determines the diagonal is less than 90°, an output indicates the print image is from a left hand.
27. The method of claim 23, wherein when the determining step (f) determines the image is not at a diagonal, the method further comprises:
(c2) determining whether a longest finger is on a right side of a fmger guide.
28. The method of claim 27, wherein when the determining step (c2) determines the longest finger is on the right side of the fmger guide, an output indicates the print image is from a left hand.
29. The method of claim 27, wherein when the determining step (c2) determines the longest finger is on a left side of the finger guide, an output indicates the print image is from a right hand.
30. A fingeφrint workstation, comprising: a ten-print scanner, said ten-print scanner having a finger guide and a platen for positioning four finger slaps onto said platen and at least four indicators for providing feedback for each fmger of a fingeφrint image of said four finger slaps; and a computer, interfaced to said ten-print scanner via a communication link, for controlling said ten-print scanner.
31. The fingeφrint workstation of claim 30, wherein said fmger guide includes a physical barrier for separating a ring fmger from a middle fmger.
32. The fingeφrint workstation of claim 30, wherein said finger guide is sized to require diagonal placement of said four fmger slaps.
33. The fingeφrint workstation of claim 30, further comprising means for determining whether a right hand or a left hand is placed on said platen for scanning.
34. The fingeφrint workstation of claim 33, wherein said means for determining whether a right hand or a left hand is placed on said platen for scanning includes means for determining whether a hand placed on said platen is placed at a diagonal.
35. A ten-print scanner, comprising: a platen; a finger guide coupled to said platen, wherein said finger guide guides positioning of a finger slap of four fingers at a time onto said platen; and at least four indicators that indicate an acceptable scan condition of each finger of said finger slap in response to a detected finger slap image.
36. The ten-print scanner of claim 35, wherein said finger guide guides positioning of two thumbs at a time onto said platen.
37. The ten-print scanner of claim 36, wherein the size of a thumb image is 500 by 1000 pixels.
38. The ten-print scanner of claim 35, wherein said fmger guide includes a physical barrier for separating a ring finger from a middle finger.
39. The ten-print scanner of claim 35, wherein said finger guide is sized to require diagonal placement of said finger slap.
40. The ten-print scanner of claim 35, further comprising a communication link for coupling to a computer.
41. The ten-print scanner of claim 40, wherein said computer controls said ten-print scanner.
42. The ten-print scanner of claim 35, further comprising a controller.
43. The ten-print scanner of claim 42, wherein said controller determines whether a right hand or a left hand is placed on said platen.
44. The ten-print scanner of claim 43, wherein said controller determines whether a hand placed on said platen is placed at a diagonal relative to a base of said platen.
45. The ten-print scanner of claim 43, wherein said controller determines whether a longest finger is on a right side of a physical barrier for separating a ring fmger from a middle fmger.
46. The ten-print scanner of claim 43, wherein said controller determines whether a shortest f ger is on a right side of a physical barrier for separating a ring finger from a middle fmger.
47. The ten-print scanner of claim 43, wherein said controller determines whether a longest fmger or a shortest finger is found.
48. The ten-print scanner of claim 42, wherein said controller separates said finger slap image into individual digit images.
49. The ten-print scanner of claim 48, wherein the size of said individual digit image is 400 by 1000 pixels.
50. The ten-print scanner of claim 48, wherein said controller associates data in said finger slap image and each of said individual digit images with conesponding regions of a fingeφrint card.
51. The ten-print scanner of claim 35 , wherein said ten-print scanner includes a housing.
52. The ten-print scanner of claim 51 , wherein said housing is constructed of impact resistant injection molded polycarbonate.
53. The ten-print scanner of claim 35, wherein the size of said finger slap image is 1600 by 1000 pixels.
54. The ten-print scanner of claim 35, wherein said finger slap image is made up of a pair of two-finger images.
55. The ten-print scanner of claim 54, wherein each two-finger image has a size of 800 by 1000 pixels.
56. The ten-print scanner of claim 35, further comprising a screen on which to view detected finger slap images.
57. The ten-print scanner of claim 35, further comprising at least one reading device, wherein said reading device reads data that conelates with said finger slap image.
58. The ten-print scanner of claim 57, wherein said reading device comprises a barcode scanner.
59. The ten-print scanner of claim 57, wherein said reading device comprises a magnetic-stripe reader.
60. The ten-print scanner of claim 57, further comprising at least one read status indicator that indicates whether the reading of data was unsuccessful.
61. The ten-print scanner of claim 60, wherein said at least one read status indicator is illuminated green when a read is successful and red when a read is unsuccessful.
62. The ten-print scanner of claim 35, wherein said at least four indicators are light-emitting diodes (LEDs).
63. The ten-print scanner of claim 35, wherein said at least four indicators are bar-graph light-emitting diode (LED) indicators.
64. The ten-print scanner of claim 35, further comprising a power status indicator that indicates whether power is provided to said ten-print scanner.
65. The ten-print scanner of claim 64, wherein said power status indicator is illuminated when power is applied to said ten-print scanner via an external power supply.
66. The ten-print scanner of claim 35, wherein said at least four indicators are positioned above said platen, each indicator having a one-to-one conespondence with a respective fmger of said fmger slap.
67. The ten-print scanner of claim 66, wherein each of said at least four indicators reflects whether said respective finger of said finger slap is cunently being imaged or is not cunently being imaged.
68. The ten-print scanner of claim 66, wherein each of said at least four indicators has a one-to-one conespondence with a respective individual digit image of said respective finger of said finger slap image and indicates whether an appropriate level of fingeφrint quality has been achieved.
69. The ten-print scanner of claim 68, wherein each of said at least four indicators reflects whether said respective individual digit image is acceptable, poor, or indeterminate.
70. The ten-print scanner of claim 68, wherein quality threshold levels for said at least four indicators are changeable.
71. The ten-print scanner of claim 68, wherein said at least four indicators are multi-color light-emitting diodes (LEDs).
72. The ten-print scanner of claim 71, wherein a red LED indicates poor quality, a green LED indicates acceptable quality, and an amber LED indicates indeterminate quality.
73. The ten-print scanner of claim 35, wherein said platen comprises a surface of a silicone pad attached to a side of a prism.
74. The ten-print scanner of claim 73, wherein said silicone pad is replaceable.
75. The ten-print scanner of claim 35, wherein the size of an active fingeφrint area of said platen is 2.05 by 3.6 inches at 500 dpi.
76. The ten-print scanner of claim 35, further comprising: an electrical system; and a main optical system, wherein said electrical system provides power to said ten-print scanner, controls status signals for various components internal to said ten-print scanner, controls input/output signals between components internal to said ten-print scanner, and controls input/output signals between said ten-print scanner and a computer; and wherein said main optical system enables said ten-print scanner to illuminate an area of said platen for receiving fingers, measures reflected light optically, and converts resulting signals into said finger slap image.
77. The ten-print scanner of claim 76, further comprising a communication link, wherein said communication link is between two IEEE-1394 interfaces, one of said IEEE-1394 interfaces within said electrical system of said ten-print scanner and one of said IEEE-1394 interfaces within said computer.
78. The ten-print scanner of claim 76, wherein said electrical system comprises: an interface board; at least one digital camera board on which to mount a digital camera; an illuminator/prism heater board that provides illumination to said main optical system and removes unwanted moisture from said platen; an indicator board that interfaces with said indicators regarding power status, read status, and fingeφrint quality status; and a first reading device, wherein read data conelates with said finger slap image, wherein said interface board is coupled to each digital camera board, illuminator/prism heater board, indicator board, and reading device, and said interface board further interfaces each digital camera board, a power supply unit that supplies power to said fingeφrint workstation, and other external devices with said computer.
79. The ten-print scanner of claim 78, wherein said other external devices include a two-dimensional barcode reader.
80. The ten-print scanner of claim 78, wherein said interface board comprises: a controller that controls said electrical system; a digital camera interface that allows communication with said digital camera board; an IEEE-1394 interface that allows communication with said computer; at least one serial interface that allows communication with said first reading device and said other external devices if present; and a power supply interface, wherein said controller is coupled for two-way serial communications to said reading device and said other external devices if present; wherein said controller is coupled for two-way communications to said IEEE- 1394 interface; wherein said controller is coupled for one-way serial communications to said digital camera interface and coupled for one-way I/O communications to said illuminator/prism heater board; and wherein said digital camera interface sends image data from said digital camera board to said IEEE-1394 interface.
81. The ten-print scanner of claim 80, wherein said controller is any one of a microcomputer, a microprocessor, and a microcontroller.
82. The ten-print scanner of claim 80, wherein said illuminator/prism heater board comprises: a light source; and a prism heater, wherein said light source provides illumination to said platen through said main optical system, and said prism heater heats the surface of said platen, whereby water vapor at or near said platen can be reduced or removed.
83. The ten-print scanner of claim 76, wherein said main optical system comprises: an illumination system; a prism, one side of said prism used as said platen; two optical systems; and two cameras, wherein said illumination system illuminates the underside of said platen, and each of said optical systems together with one of said cameras detect an image of fingers placed on a side of a banier of said finger guide on said platen, said barrier separating a ring fmger and a middle finger.
84. The ten-print scanner of claim 83, wherein said illumination system comprises: an illumination source anay; a light wedge; and a diffuser, wherein said illumination source anay illuminates an end region of said light wedge, and said light wedge then reflects light, sending the light to said diffuser prior to entering said prism.
85. The ten-print scanner of claim 84, wherein said illumination source anay emits light of any single wavelength or nanowband of wavelengths.
86. The ten-print scanner of claim 83, wherein said optical system comprises: optical housing; a first lens element; a fold minor; a second lens element; a third lens element; a fourth lens element; an aperture stop; and a focus mount, wherein said optical housing of said optical system is V-shaped, coupled to said prism at one top end and coupled to said camera at the other top end using said focus mount; wherein a biometric object placed on said prism for imaging is focused through said first lens element and a reflected image is reflected off of said fold minor; wherein said aperture stop is used to limit light passing through said optical system such that only light rays traveling within a range of angles at or near a direction along an optical axis are detected; and wherein said reflected image is then focused through said second, third, and fourth lens elements for detection by said camera.
87. A ten-print scanner, comprising: means for guiding via a finger guide the positioning of a finger slap of four fingers at a time onto a platen; and means for indicating an acceptable scan condition of each finger of said finger slap in response to a detected image.
88. The ten-print scanner of claim 87, wherein said finger guide comprises means for separating a ring finger from a middle finger.
89. The ten-print scanner of claim 87, wherein said finger guide comprises means for requiring diagonal placement of said finger slap.
90. The ten-print scanner of claim 87, further comprising means for determining whether a right hand or a left hand is placed on said platen.
91. The ten-print scanner of claim 90, further comprising means for determining whether a hand placed on said platen is placed at a diagonal relative to a base of said platen.
92. The ten-print scanner of claim 90, further comprising means for determining whether a longest finger is on a right side of a physical barrier for separating a ring finger from a middle fmger.
93. The ten-print scanner of claim 90, further comprising means for determining whether a shortest fmger is on a right side of a physical barrier for separating a ring finger from a middle finger.
94. The ten-print scanner of claim 90, further comprising means for determining whether a longest finger or a shortest fmger is found.
95. The ten-print scanner of claim 87, further comprising means for separating said fmger slap image into individual digit images.
96. The ten-print scanner of claim 95, further comprising means for associating data in said finger slap image and each of said individual digit images with conesponding regions of a fingeφrint card.
97. The ten-print scanner of claim 87, further comprising means for viewing detected finger slap images.
98. The ten-print scanner of claim 87, further comprising means for reading data that conelates with said finger slap image.
99. The ten-print scanner of claim 98, further comprising means for indicating whether the reading of data was unsuccessful.
100. The ten-print scanner of claim 87, further comprising means for determining whether power is provided to said ten-print scanner.
101. The ten-print scanner of claim 87, further comprising means for indicating whether an appropriate level of fingeφrint quality has been achieved.
102. The ten-print scanner of claim 87, further comprising means for determining whether a specific finger of said finger slap is cunently being imaged or is not cunently being imaged.
103. The ten-print scanner of claim 87, further comprising means for removing unwanted moisture from said platen.
104. The ten-print scanner of claim 103, further comprising means for controlling trip point limits for turning heating elements on and off when heating said platen.
105. The ten-print scanner of claim 87, further comprising means for illuminating the underside of said platen, wherein a camera detects an image of fingers placed on a side of a banier of said fmger guide on said platen, said barrier separating a ring finger and a middle finger.
106. The ten-print scanner of claim 87, further comprising means for displaying messages.
107. A ten-print scanner, comprising: a platen; a finger guide coupled to said platen, said fmger guide having: a center banier, wherein said finger guide guides positioning of a finger slap of one of a right and left hand with said center barrier separating a ring finger and a middle finger, and wherein said finger guide guides positioning of two thumbs simultaneously with said center barrier separating said thumbs; and at least four indicators that indicate an acceptable scan condition of each finger of said finger slap or of each thumb in response to a detected image.
108. A fingeφrinting method, comprising the steps of: positioning fingers of one of a right and left hand upon a platen, said platen having a finger guide and a barrier separating a ring fmger and a middle fmger; detecting a first finger slap image at said platen; removing said fingers of said one of a right and left hand from said platen; positioning fingers of an other of a right and left hand upon said platen; detecting a second fmger slap image at said platen; removing said fingers of said other of a right and left hand from said platen; positioning thumbs of the left and right hands on each side of said barrier of said platen; detecting a thumbprint image at said platen; and removing said thumbs from said platen.
109. The fingeφrinting method of claim 108, further comprising the step of: storing said first finger slap image, second finger slap image, and thumbprint image.
110. The fingeφrinting method of claim 108, in which the positioning of said thumbs comprises the steps of: positioning a thumb on the right hand on a right side of said barrier of said platen; and positioning a thumb on the left hand on a left side of said barrier of said platen.
111. The fingeφrinting method of claim 108, further comprising the step of: determining to which hand each of said finger slaps belongs.
112. The fingeφrinting method of claim 111, further comprising the step of: separating each of said finger slap images into individual fingeφrint images of each finger scanned.
113. The fingeφrinting method of claim 112, further comprising the step of: placing each of said first and second finger slap fingeφrint images, individual fingeφrint images, and thumbprint images into a conesponding area of a fingeφrint card.
114. A fingeφrint workstation, comprising: a ten-print scanner, said ten-print scanner having: a platen; a finger guide coupled to said platen, wherein said finger guide guides positioning of a finger slap of four fingers at a time onto said platen; and at least four indicators that indicate an acceptable scan condition of each fmger of said finger slap in response to a detected fmger slap image; and a computer, interfaced to said ten-print scanner via a communication link, that communicates with said ten-print scanner.
115. The fingeφrint workstation of claim 114, wherein said finger guide includes a physical barrier for separating a ring finger from a middle finger.
116. The fingeφrint workstation of claim 114, wherein said finger guide is sized to require diagonal placement of said finger slap.
117. The fingeφrint workstation of claim 114, further comprising a controller that controls said ten-print scanner.
118. The fingeφrint workstation of claim 114, wherein said computer controls said ten-print scanner.
119. The fingeφrint workstation of claim 114, wherein said ten-print scanner further comprises a controller.
120. The fingeφrint workstation of claim 119, wherein said controller determines whether a right hand or a left hand is placed on said platen.
121. The fingeφrint workstation of claim 120, wherein said controller determines whether a hand placed on said platen is placed at a diagonal relative to a base of said platen.
122. The fingeφrint workstation of claim 114, further comprising at least one reading device, wherein said reading device reads data that conelates with said fmger slap image.
123. The fingeφrint workstation of claim 122, further comprising at least one read status indicator that indicates whether the reading of data was unsuccessful.
124. The fingeφrint workstation of claim 123, wherein said at least one read status indicator is illuminated green when a read is successful and red when a read is unsuccessful.
125. The fingeφrint workstation of claim 122, wherein said reading device comprises a barcode scanner.
126. The fingeφrint workstation of claim 122, wherein said reading device comprises a magnetic-stripe reader.
127. The fingeφrint workstation of claim 114, further comprising a screen on which to view said finger slap images as they are scanned.
128. The fingeφrint workstation of claim 114, wherein said at least four indicators are light-emitting diodes (LEDs).
129. The fingeφrint workstation of claim 114, wherein said at least four indicators are bar-graph light-emitting diode (LED) indicators.
130. The fingeφrint workstation of claim 114 further comprising a power status indicator that indicates whether power is provided to said ten-print scanner.
131. The fingeφrint workstation of claim 130, wherein said power status indicator is illuminated when power is applied to said ten-print scanner via an external power supply.
132. The fingeφrint workstation of claim 114, wherein said at least four indicators are positioned above said platen, each indicator having a one-to-one conespondence with a respective finger of said finger slap.
133. The fingeφrint workstation of claim 132, wherein each of said at least four indicators reflects whether said respective fmger of said finger slap is cunently being imaged or is not cunently being imaged.
134. The fingeφrint workstation of claim 132, wherein each of said at least four indicators has a one-to-one conespondence with a respective individual digit image of said respective finger of said finger slap image and indicates whether an appropriate level of fingeφrint quality has been achieved.
135. The fingeφrint workstation of claim 134, wherein each of said at least four indicators reflects whether said respective individual digit image is acceptable, poor, or indeterminate.
136. The fingeφrint workstation of claim 134, wherein quality threshold levels for said at least four indicators are changeable.
137. The fingeφrint workstation of claim 134, wherein said at least four indicators are multi-color light-emitting diodes (LEDs).
138. The fingeφrint workstation of claim 137, wherein a red LED indicates poor quality, a green LED indicates acceptable quality, and an amber LED indicates indeterminate quality.
139. The fingeφrint workstation of claim 114, wherein said platen comprises a surface of a silicone pad attached to a side of a prism.
140. The fingeφrint workstation of claim 114, wherein the size of an active fingeφrint area of said platen is 2.05 by 3.6 inches at 500 dpi.
PCT/US2003/001168 2002-01-17 2003-01-16 Fingerprint workstation and methods WO2003063054A2 (en)

Priority Applications (4)

Application Number Priority Date Filing Date Title
JP2003562846A JP2005516290A (en) 2002-01-17 2003-01-16 Fingerprint workstation and method
AU2003207563A AU2003207563A1 (en) 2002-01-17 2003-01-16 Fingerprint workstation and methods
DE60323208T DE60323208D1 (en) 2002-01-17 2003-01-16 FINGERPRINT WORKSTATION AND METHOD
EP03705774A EP1476841B1 (en) 2002-01-17 2003-01-16 Fingerprint workstation and methods

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US34867802P 2002-01-17 2002-01-17
US60/348,678 2002-01-17

Publications (2)

Publication Number Publication Date
WO2003063054A2 true WO2003063054A2 (en) 2003-07-31
WO2003063054A3 WO2003063054A3 (en) 2004-05-13

Family

ID=27613238

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/US2003/001168 WO2003063054A2 (en) 2002-01-17 2003-01-16 Fingerprint workstation and methods

Country Status (8)

Country Link
US (3) US7308122B2 (en)
EP (1) EP1476841B1 (en)
JP (1) JP2005516290A (en)
CN (1) CN100437624C (en)
AT (1) ATE406626T1 (en)
AU (1) AU2003207563A1 (en)
DE (1) DE60323208D1 (en)
WO (1) WO2003063054A2 (en)

Cited By (46)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP1533759A1 (en) * 2003-11-19 2005-05-25 Ncr International Inc. Biometric system
EP1612716A2 (en) * 2004-06-28 2006-01-04 Fujitsu Limited User interface for image input in a biometric authentication device; corresponding biometric authentication device, method and program
JP2007501465A (en) * 2003-08-01 2007-01-25 クロス マッチ テクノロジーズ, インコーポレイテッド Biometric imaging system and method
WO2007123557A1 (en) * 2006-04-26 2007-11-01 Aware, Inc. Fingerprint preview quality and segmentation
US7697730B2 (en) 2004-07-30 2010-04-13 Fujitsu Limited Guidance screen control method of biometrics authentication device, biometrics authentication device, and program for same
EP2219136A1 (en) * 2009-02-17 2010-08-18 Validity Sensors, Inc. Illuminated fingerprint sensor and method
US8005276B2 (en) 2008-04-04 2011-08-23 Validity Sensors, Inc. Apparatus and method for reducing parasitic capacitive coupling and noise in fingerprint sensing circuits
US8077935B2 (en) 2004-04-23 2011-12-13 Validity Sensors, Inc. Methods and apparatus for acquiring a swiped fingerprint image
US8107212B2 (en) 2007-04-30 2012-01-31 Validity Sensors, Inc. Apparatus and method for protecting fingerprint sensing circuitry from electrostatic discharge
US8116540B2 (en) 2008-04-04 2012-02-14 Validity Sensors, Inc. Apparatus and method for reducing noise in fingerprint sensing circuits
US8131026B2 (en) 2004-04-16 2012-03-06 Validity Sensors, Inc. Method and apparatus for fingerprint image reconstruction
US8165355B2 (en) 2006-09-11 2012-04-24 Validity Sensors, Inc. Method and apparatus for fingerprint motion tracking using an in-line array for use in navigation applications
US8175345B2 (en) 2004-04-16 2012-05-08 Validity Sensors, Inc. Unitized ergonomic two-dimensional fingerprint motion tracking device and method
US8204281B2 (en) 2007-12-14 2012-06-19 Validity Sensors, Inc. System and method to remove artifacts from fingerprint sensor scans
US8224044B2 (en) 2004-10-04 2012-07-17 Validity Sensors, Inc. Fingerprint sensing assemblies and methods of making
US8229184B2 (en) 2004-04-16 2012-07-24 Validity Sensors, Inc. Method and algorithm for accurate finger motion tracking
US8276816B2 (en) 2007-12-14 2012-10-02 Validity Sensors, Inc. Smart card system with ergonomic fingerprint sensor and method of using
US8278946B2 (en) 2009-01-15 2012-10-02 Validity Sensors, Inc. Apparatus and method for detecting finger activity on a fingerprint sensor
US8290150B2 (en) 2007-05-11 2012-10-16 Validity Sensors, Inc. Method and system for electronically securing an electronic device using physically unclonable functions
US8331096B2 (en) 2010-08-20 2012-12-11 Validity Sensors, Inc. Fingerprint acquisition expansion card apparatus
US8358815B2 (en) 2004-04-16 2013-01-22 Validity Sensors, Inc. Method and apparatus for two-dimensional finger motion tracking and control
US8374407B2 (en) 2009-01-28 2013-02-12 Validity Sensors, Inc. Live finger detection
US8391568B2 (en) 2008-11-10 2013-03-05 Validity Sensors, Inc. System and method for improved scanning of fingerprint edges
US8447077B2 (en) 2006-09-11 2013-05-21 Validity Sensors, Inc. Method and apparatus for fingerprint motion tracking using an in-line array
US8538097B2 (en) 2011-01-26 2013-09-17 Validity Sensors, Inc. User input utilizing dual line scanner apparatus and method
US8594393B2 (en) 2011-01-26 2013-11-26 Validity Sensors System for and method of image reconstruction with dual line scanner using line counts
US8600122B2 (en) 2009-01-15 2013-12-03 Validity Sensors, Inc. Apparatus and method for culling substantially redundant data in fingerprint sensing circuits
US8698594B2 (en) 2008-07-22 2014-04-15 Synaptics Incorporated System, device and method for securing a user device component by authenticating the user of a biometric sensor by performance of a replication of a portion of an authentication process performed at a remote computing device
US8716613B2 (en) 2010-03-02 2014-05-06 Synaptics Incoporated Apparatus and method for electrostatic discharge protection
US9001040B2 (en) 2010-06-02 2015-04-07 Synaptics Incorporated Integrated fingerprint sensor and navigation device
US9137438B2 (en) 2012-03-27 2015-09-15 Synaptics Incorporated Biometric object sensor and method
US9152838B2 (en) 2012-03-29 2015-10-06 Synaptics Incorporated Fingerprint sensor packagings and methods
US9195877B2 (en) 2011-12-23 2015-11-24 Synaptics Incorporated Methods and devices for capacitive image sensing
US9251329B2 (en) 2012-03-27 2016-02-02 Synaptics Incorporated Button depress wakeup and wakeup strategy
US9268991B2 (en) 2012-03-27 2016-02-23 Synaptics Incorporated Method of and system for enrolling and matching biometric data
US9274553B2 (en) 2009-10-30 2016-03-01 Synaptics Incorporated Fingerprint sensor and integratable electronic display
US9336428B2 (en) 2009-10-30 2016-05-10 Synaptics Incorporated Integrated fingerprint sensor and display
US9400911B2 (en) 2009-10-30 2016-07-26 Synaptics Incorporated Fingerprint sensor and integratable electronic display
US9406580B2 (en) 2011-03-16 2016-08-02 Synaptics Incorporated Packaging for fingerprint sensors and methods of manufacture
US9600709B2 (en) 2012-03-28 2017-03-21 Synaptics Incorporated Methods and systems for enrolling biometric data
US9659208B2 (en) 2010-01-15 2017-05-23 Idex Asa Biometric image sensing
US9665762B2 (en) 2013-01-11 2017-05-30 Synaptics Incorporated Tiered wakeup strategy
US9666635B2 (en) 2010-02-19 2017-05-30 Synaptics Incorporated Fingerprint sensing circuit
US9785299B2 (en) 2012-01-03 2017-10-10 Synaptics Incorporated Structures and manufacturing methods for glass covered electronic devices
US9798917B2 (en) 2012-04-10 2017-10-24 Idex Asa Biometric sensing
US10043052B2 (en) 2011-10-27 2018-08-07 Synaptics Incorporated Electronic device packages and methods

Families Citing this family (80)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP1476841B1 (en) * 2002-01-17 2008-08-27 Cross Match Technologies, Inc. Fingerprint workstation and methods
US7088872B1 (en) * 2002-02-14 2006-08-08 Cogent Systems, Inc. Method and apparatus for two dimensional image processing
DE10223107A1 (en) * 2002-05-22 2003-12-04 Zeiss Carl Jena Gmbh Device for imaging objects
US20040057606A1 (en) * 2002-09-25 2004-03-25 The Hong Kong Polytechnic University Apparatus for capturing a palmprint image
US20040114786A1 (en) * 2002-12-06 2004-06-17 Cross Match Technologies, Inc. System and method for capturing print information using a coordinate conversion method
GB0311097D0 (en) * 2003-05-14 2003-06-18 Oracle Int Corp Authentication system
US7298362B2 (en) * 2003-07-31 2007-11-20 Kye Systems Corp. Pointing device with finger-contact control
US7081951B2 (en) * 2003-10-09 2006-07-25 Cross Match Technologies, Inc. Palm print scanner and methods
CA2552650C (en) * 2004-01-07 2014-09-30 Identification International, Inc. Low power fingerprint capture system, apparatus, and method
JP4546119B2 (en) * 2004-03-17 2010-09-15 Necインフロンティア株式会社 Fingerprint input method and apparatus
IL161183A (en) * 2004-03-30 2007-08-19 Rafael Advanced Defense Sys Access control method and system
US20050265587A1 (en) * 2004-06-01 2005-12-01 Schneider John K Fingerprint image database and method of matching fingerprint sample to fingerprint images
DE102004032000A1 (en) * 2004-06-25 2006-01-19 Smiths Heimann Biometrics Gmbh Arrangement for generating fingerprints for optoelectronic image recording
JP4348702B2 (en) * 2004-09-29 2009-10-21 日本電気株式会社 Plane four-finger image determination apparatus, plane four-finger image determination method, and plane four-finger image determination program
US20060104224A1 (en) * 2004-10-13 2006-05-18 Gurminder Singh Wireless access point with fingerprint authentication
DE102004053900A1 (en) * 2004-11-05 2006-05-11 Tbs Holding Ag Method and device for acquiring biometric data
US7616788B2 (en) * 2004-11-12 2009-11-10 Cogent Systems, Inc. System and method for fast biometric pattern matching
US7406186B2 (en) * 2005-01-25 2008-07-29 Ruei-Bin Lin Dermatoglyph test system
US20070046926A1 (en) * 2005-08-26 2007-03-01 Jung-Chun Wu Fingerprint identification assembly using reflection to identify pattern of a fingerprint
US8131477B2 (en) 2005-11-16 2012-03-06 3M Cogent, Inc. Method and device for image-based biological data quantification
KR100909540B1 (en) * 2006-09-22 2009-07-27 삼성전자주식회사 Image recognition error notification method and device
KR100862916B1 (en) * 2007-02-05 2008-10-13 주식회사 유니온커뮤니티 Apparatus and Method for Recognizing Fingerprint Dualy
US8098900B2 (en) * 2007-03-06 2012-01-17 Honeywell International Inc. Skin detection sensor
US7812936B2 (en) 2007-04-09 2010-10-12 Identification International, Inc. Fingerprint imaging system
US8275179B2 (en) * 2007-05-01 2012-09-25 3M Cogent, Inc. Apparatus for capturing a high quality image of a moist finger
US8411916B2 (en) * 2007-06-11 2013-04-02 3M Cogent, Inc. Bio-reader device with ticket identification
US8468211B2 (en) * 2007-10-30 2013-06-18 Schlage Lock Company Llc Communication and synchronization in a networked timekeeping environment
JP2009189446A (en) * 2008-02-13 2009-08-27 Fujitsu Ltd Vein imaging apparatus
US8179543B2 (en) * 2008-08-01 2012-05-15 Xerox Corporation Fingerprint scan order sequence to configure a print system device
US8301902B2 (en) * 2009-02-12 2012-10-30 International Business Machines Corporation System, method and program product for communicating a privacy policy associated with a biometric reference template
US8242892B2 (en) * 2009-02-12 2012-08-14 International Business Machines Corporation System, method and program product for communicating a privacy policy associated with a radio frequency identification tag and associated object
US9298902B2 (en) * 2009-02-12 2016-03-29 International Business Machines Corporation System, method and program product for recording creation of a cancelable biometric reference template in a biometric event journal record
US8289135B2 (en) 2009-02-12 2012-10-16 International Business Machines Corporation System, method and program product for associating a biometric reference template with a radio frequency identification tag
US8327134B2 (en) 2009-02-12 2012-12-04 International Business Machines Corporation System, method and program product for checking revocation status of a biometric reference template
US8359475B2 (en) * 2009-02-12 2013-01-22 International Business Machines Corporation System, method and program product for generating a cancelable biometric reference template on demand
JP5493420B2 (en) * 2009-03-25 2014-05-14 富士通株式会社 Traffic authentication system
US8432252B2 (en) * 2009-06-19 2013-04-30 Authentec, Inc. Finger sensor having remote web based notifications
US8455961B2 (en) * 2009-06-19 2013-06-04 Authentec, Inc. Illuminated finger sensor assembly for providing visual light indications including IC finger sensor grid array package
US8331775B2 (en) * 2009-10-15 2012-12-11 Jack Harper Fingerprint scanning systems and methods
US9280695B2 (en) * 2009-11-11 2016-03-08 Cross Match Technologies, Inc. Apparatus and method for determining sequencing of fingers in images to a two-finger scanner of fingerprint images
US8598555B2 (en) * 2009-11-20 2013-12-03 Authentec, Inc. Finger sensing apparatus with selectively operable transmitting/receiving pixels and associated methods
US8421890B2 (en) 2010-01-15 2013-04-16 Picofield Technologies, Inc. Electronic imager using an impedance sensor grid array and method of making
US8791792B2 (en) 2010-01-15 2014-07-29 Idex Asa Electronic imager using an impedance sensor grid array mounted on or about a switch and method of making
US8833657B2 (en) * 2010-03-30 2014-09-16 Willie Anthony Johnson Multi-pass biometric scanner
JP5073773B2 (en) * 2010-04-08 2012-11-14 シャープ株式会社 Image processing apparatus, image forming apparatus, image processing method, and program
CN103189894B (en) * 2010-11-08 2017-03-08 日本电气株式会社 Biological authentication apparatus and biological authentication method
US20120127179A1 (en) * 2010-11-19 2012-05-24 Nokia Corporation Method, apparatus and computer program product for user interface
US9122856B2 (en) 2010-12-01 2015-09-01 Hid Global Corporation Updates of biometric access systems
WO2012144496A1 (en) 2011-04-20 2012-10-26 日本電気株式会社 Ten-print card input device, ten-print card input method, and storage medium
WO2013040448A1 (en) 2011-09-16 2013-03-21 Life Technologies Corporation Simultaneous acquisition of biometric data and nucleic acid
US9058646B2 (en) 2011-09-23 2015-06-16 Life Technologies Corporation Simultaneous acquisition of biometric data and nucleic acid
KR101244220B1 (en) * 2011-10-21 2013-03-18 주식회사 유니온커뮤니티 Apparatus and method for recognizing fingerprint
WO2013126765A2 (en) 2012-02-22 2013-08-29 Life Technologies Corporation Sample collection devices, kits and methods of use
CN102708363A (en) * 2012-05-15 2012-10-03 江苏群雄智能科技有限公司 Self-adaptive fingerprint identification system
US8786403B1 (en) * 2012-10-05 2014-07-22 Jeffery Robert Vangemert Biometric identification scanner
FR2997210B1 (en) * 2012-10-18 2015-12-11 Morpho FINGER SEGMENTATION METHOD
DE102012022362A1 (en) * 2012-11-15 2014-05-15 GM Global Technology Operations, LLC (n.d. Ges. d. Staates Delaware) Input device for a motor vehicle
CN105378756B (en) * 2013-07-16 2020-05-08 加利福尼亚大学董事会 MUT fingerprint ID system
CN104423774B (en) * 2013-08-19 2017-10-27 中国移动通信集团公司 It is a kind of that the method and apparatus that right-hand man operates mobile terminal is determined based on finger print information
US20150107377A1 (en) * 2013-10-22 2015-04-23 Kenneth J. Bagan Medical Screening Device
JP2017513149A (en) 2014-04-10 2017-05-25 アイビー コリア リミテッドIB Korea Ltd. Biometric sensor for touch-enabled devices
CN106462741B (en) * 2014-04-23 2020-11-10 挪佛麦迪哥股份公司 Arrangement and method for identifying a fingerprint
US10037528B2 (en) 2015-01-14 2018-07-31 Tactilis Sdn Bhd Biometric device utilizing finger sequence for authentication
US10395227B2 (en) 2015-01-14 2019-08-27 Tactilis Pte. Limited System and method for reconciling electronic transaction records for enhanced security
US9607189B2 (en) 2015-01-14 2017-03-28 Tactilis Sdn Bhd Smart card system comprising a card and a carrier
WO2016183537A1 (en) * 2015-05-14 2016-11-17 Cross Match Technologies, Inc. Handheld biometric scanner device
US10078775B2 (en) 2015-06-23 2018-09-18 Idex Asa Double-sided fingerprint sensor
US10198612B1 (en) * 2015-07-29 2019-02-05 Morphotrust Usa, Llc System and method for scaling biometric images
CN107844754B (en) * 2015-10-19 2021-03-12 Oppo广东移动通信有限公司 Method and device for judging foreign matters on surface of terminal fingerprint sensor
CN108764015B (en) * 2015-10-19 2021-03-02 Oppo广东移动通信有限公司 Method and device for acquiring fingerprint image to be identified and mobile terminal
CN105488469A (en) * 2015-11-27 2016-04-13 国网黑龙江省电力有限公司信息通信公司 Fingerprint verification device for machine room or cabinet
CN107851298B (en) * 2015-12-18 2021-05-07 株式会社日立制作所 Biometric authentication device and system
CN106774803B (en) * 2016-12-12 2021-02-09 北京小米移动软件有限公司 Fingerprint identification method and device
US10339361B2 (en) * 2017-03-23 2019-07-02 International Business Machines Corporation Composite fingerprint authenticator
TWI705384B (en) 2017-09-19 2020-09-21 挪威商藝達思公司 Double sided sensor module suitable for integration into electronic devices
US10102415B1 (en) 2018-03-29 2018-10-16 Secugen Corporation Method and apparatus for simultaneous multiple fingerprint enrollment
CN114830191A (en) * 2019-12-12 2022-07-29 松下知识产权经营株式会社 Fingerprint registration method and user terminal device
US20220309782A1 (en) * 2021-03-26 2022-09-29 Sam Houston State University Using smartphone camera and application to capture, analyze, and evaluate latent fingerprints in real-time
WO2023121541A1 (en) * 2021-12-20 2023-06-29 Fingerprint Cards Anacatum Ip Ab An optical fingerprint sensor and a method for detecting a fingerprint
DE202022100484U1 (en) 2022-01-28 2023-05-05 Burg-Wächter Kg Device for capturing a fingerprint as an identification feature of a person

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5650842A (en) * 1995-10-27 1997-07-22 Identix Incorporated Device and method for obtaining a plain image of multiple fingerprints
US5926555A (en) * 1994-10-20 1999-07-20 Calspan Corporation Fingerprint identification system
US6282302B1 (en) * 1993-11-12 2001-08-28 Nec Corporation Fingerprint image cutout processing device for tenprint card

Family Cites Families (223)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US2445594A (en) * 1945-11-02 1948-07-20 Us Navy Telecentric projection lens
US2500017A (en) 1948-07-07 1950-03-07 Eastman Kodak Co Apochromatic telescope objectives and systems including same
US3200701A (en) 1962-01-29 1965-08-17 Ling Temco Vought Inc Method for optical comparison of skin friction-ridge patterns
US3540025A (en) 1967-01-20 1970-11-10 Sierracin Corp Ice detector
US3482498A (en) 1967-05-09 1969-12-09 Trw Inc Ridge pattern recording apparatus
DE1968844U (en) 1967-05-23 1967-09-21 Eltro G M B H & Co Ges Fuer St ELECTRIC HEATING FOR EXIT WINDOWS OR FRONT LENSES OF OPTICAL DEVICES.
US3475588A (en) 1968-08-20 1969-10-28 Permaglass Defrosting and deicing window assembly
US3527535A (en) 1968-11-15 1970-09-08 Eg & G Inc Fingerprint observation and recording apparatus
US3619060A (en) 1968-11-19 1971-11-09 Joseph E Johnson Identification device
US3617120A (en) 1969-06-02 1971-11-02 Stephen Roka Fingerprint comparison apparatus
US3699519A (en) 1971-04-30 1972-10-17 North American Rockwell Fingerprint analysis device
US3743421A (en) 1971-07-02 1973-07-03 Sperry Rand Corp System for identifying personnel by fingerprint verification and method therefor
US3906520A (en) 1973-08-03 1975-09-16 Optics Technology Inc Apparatus for producing a high contrast visible image from an object
US4032975A (en) 1974-02-25 1977-06-28 Mcdonnell Douglas Corporation Detector array gain compensation
US4063226A (en) 1974-03-18 1977-12-13 Harris Corporation Optical information storage system
US3947128A (en) 1974-04-19 1976-03-30 Zvi Weinberger Pattern comparison
US3968476A (en) 1974-07-17 1976-07-06 Sperry Rand Corporation Spurious signal removal in optical processor fingerprint identification apparatus
US3975711A (en) 1974-08-30 1976-08-17 Sperry Rand Corporation Real time fingerprint recording terminal
US3944978A (en) 1974-09-09 1976-03-16 Recognition Systems, Inc. Electro-optical method and apparatus for making identifications
US4210899A (en) 1975-06-23 1980-07-01 Fingermatrix, Inc. Fingerprint-based access control and identification apparatus
US4209481A (en) 1976-04-19 1980-06-24 Toray Industries, Inc. Process for producing an anisotropically electroconductive sheet
US4120585A (en) 1976-11-19 1978-10-17 Calspan Corporation Fingerprint identification system using a pliable optical prism
US4152056A (en) 1977-09-02 1979-05-01 Fowler Randall C Fingerprinting arrangement
US4322163A (en) 1977-10-25 1982-03-30 Fingermatrix Inc. Finger identification
US4210889A (en) 1978-07-20 1980-07-01 Holce Thomas J Magnetically actuated sensing device
CA1087735A (en) 1978-07-28 1980-10-14 Szymon Szwarcbier Process and apparatus for positive identification of customers
EP0031163B1 (en) 1979-12-24 1987-09-23 El-De Electro-Optic Developments Limited Method and device for carrying out a comparison between certain patterns, especially finger prints
US4358677A (en) 1980-05-22 1982-11-09 Siemens Corporation Transducer for fingerprints and apparatus for analyzing fingerprints
US4336998A (en) 1980-05-22 1982-06-29 Siemens Corporation Fingerprint transducer and reading apparatus
US4544267A (en) 1980-11-25 1985-10-01 Fingermatrix, Inc. Finger identification
GB2089545A (en) 1980-12-11 1982-06-23 Watson Graham Michael Optical Image Formation
EP0101772A1 (en) 1982-09-01 1984-03-07 Jerome Hal Lemelson Computer security systems
JPS59153514U (en) 1983-03-31 1984-10-15 株式会社東海理化電機製作所 Contact pattern observation device
US4553837A (en) 1983-10-24 1985-11-19 Fingermatrix, Inc. Roll fingerprint processing apparatus
US4537484A (en) 1984-01-30 1985-08-27 Identix Incorporated Fingerprint imaging apparatus
EP0171939B1 (en) 1984-07-18 1990-04-18 Nec Corporation Image input device
US4635338A (en) 1984-12-18 1987-01-13 Walsh William H Method and apparatus for assembling an automatic and disposable pencil
US4601195A (en) 1985-04-11 1986-07-22 Rheometrics, Inc. Apparatus and method for measuring viscoelastic properties of materials
DK155242C (en) 1985-05-02 1989-07-31 Jydsk Telefon As METHOD AND APPARATUS FOR AUTOMATIC DETECTION OF FINGERPRINT
US4942482A (en) 1985-08-09 1990-07-17 Sony Corporation Automatic page-turning device
US4783823A (en) 1985-09-16 1988-11-08 Omron Tateisi Electronics, Co. Card identifying method and apparatus
GB8525161D0 (en) 1985-10-11 1985-11-13 Blackwell V C Personalised identification device
US4669487A (en) 1985-10-30 1987-06-02 Edward Frieling Identification device and method
US5187747A (en) 1986-01-07 1993-02-16 Capello Richard D Method and apparatus for contextual data enhancement
US4876726A (en) 1986-01-07 1989-10-24 De La Rue Printrak, Inc. Method and apparatus for contextual data enhancement
US4684802A (en) 1986-02-18 1987-08-04 International Business Machines Corporation Elliptical finger press scanner with rotating light source
EP0244498B1 (en) 1986-05-06 1991-06-12 Siemens Aktiengesellschaft Arrangement and process for determining the authenticity of persons by verifying their finger prints
US5067162A (en) 1986-06-30 1991-11-19 Identix Incorporated Method and apparatus for verifying identity using image correlation
US4701772A (en) 1986-11-26 1987-10-20 Xerox Corporation Thermally activated image bar
US4811414A (en) 1987-02-27 1989-03-07 C.F.A. Technologies, Inc. Methods for digitally noise averaging and illumination equalizing fingerprint images
US4792226A (en) 1987-02-27 1988-12-20 C.F.A. Technologies, Inc. Optical fingerprinting system
JPH01145785A (en) 1987-08-21 1989-06-07 Nec Corp Method and instrument for measuring surface shape
EP0308162A3 (en) 1987-09-15 1990-06-06 Identix Incorporated Optical system for fingerprint imaging
US4933976A (en) 1988-01-25 1990-06-12 C.F.A. Technologies, Inc. System for generating rolled fingerprint images
CA1319433C (en) 1988-06-23 1993-06-22 Masayuki Kato Uneven-surface data detection apparatus
US5222153A (en) 1988-09-02 1993-06-22 Thumbscan, Inc. Apparatus for matching a fingerprint using a tacky finger platen
US4946276A (en) 1988-09-23 1990-08-07 Fingermatrix, Inc. Full roll fingerprint apparatus
US5067749A (en) 1989-01-09 1991-11-26 Land Larry D Method and apparatus for obtaining and recording fingerprint indicia
CA1326304C (en) 1989-01-17 1994-01-18 Marcel Graves Secure data interchange system
US5073949A (en) 1989-03-16 1991-12-17 Kabushiki Kaisha Toshiba Personal verification apparatus
CA1286032C (en) 1989-09-28 1991-07-09 James H. Lougheed Optical scanning and recording apparatus for fingerprints
US5261266A (en) 1990-01-24 1993-11-16 Wisconsin Alumni Research Foundation Sensor tip for a robotic gripper and method of manufacture
DE69126895T2 (en) 1990-01-25 1997-11-20 Hewlett Packard Co Method and device for equipping a document reader with sensor compensation
US5146102A (en) 1990-02-22 1992-09-08 Kabushiki Kaisha Toshiba Fingerprint image input apparatus including a cylindrical lens
US5054090A (en) 1990-07-20 1991-10-01 Knight Arnold W Fingerprint correlation system with parallel FIFO processor
US5177353A (en) 1990-07-31 1993-01-05 Retrievex, Inc. Finger surface image enhancement having liquid layer on finger touching surface of the plate
US5230025A (en) 1990-08-31 1993-07-20 Digital Biometrics, Inc. Method and apparatus for capturing skin print images
JP2779053B2 (en) 1990-09-25 1998-07-23 株式会社日立製作所 Optical scanning device
US5131038A (en) 1990-11-07 1992-07-14 Motorola, Inc. Portable authentification system
US5249370A (en) 1990-11-15 1993-10-05 Digital Biometrics, Inc. Method and apparatus for fingerprint image processing
KR930001001Y1 (en) 1990-11-17 1993-03-02 주식회사 금성사 Fingerprint recognition apparatus
GB9027718D0 (en) 1990-12-20 1991-02-13 Emi Plc Thorn Fingerprint imaging
US5157497A (en) 1991-02-25 1992-10-20 Matsushita Electric Industrial Co., Ltd. Method and apparatus for detecting and compensating for white shading errors in a digitized video signal
US5185673A (en) 1991-06-12 1993-02-09 Hewlett-Packard Company Automated image calibration
US5467403A (en) 1991-11-19 1995-11-14 Digital Biometrics, Inc. Portable fingerprint scanning apparatus for identification verification
US5222152A (en) 1991-11-19 1993-06-22 Digital Biometrics, Inc. Portable fingerprint scanning apparatus for identification verification
USD348445S (en) 1992-01-31 1994-07-05 Digital Biometrics, Inc. Hand held fingerprint scanner for imaging and capturing a photographic image
US5335288A (en) 1992-02-10 1994-08-02 Faulkner Keith W Apparatus and method for biometric identification
US6347163B2 (en) * 1994-10-26 2002-02-12 Symbol Technologies, Inc. System for reading two-dimensional images using ambient and/or projected light
US5729334A (en) 1992-03-10 1998-03-17 Van Ruyven; Lodewijk Johan Fraud-proof identification system
US5363318A (en) 1992-03-23 1994-11-08 Eastman Kodak Company Method and apparatus for adaptive color characterization and calibration
US5855433A (en) * 1992-04-28 1999-01-05 Velho; Luiz C. Method of color halftoning using space filling curves
GB2267771A (en) 1992-06-06 1993-12-15 Central Research Lab Ltd Finger guide
US5351127A (en) 1992-06-17 1994-09-27 Hewlett-Packard Company Surface plasmon resonance measuring instruments
US6002787A (en) * 1992-10-27 1999-12-14 Jasper Consulting, Inc. Fingerprint analyzing and encoding system
JPH06259541A (en) * 1992-10-30 1994-09-16 Toshiba Corp Method for correcting image distorting and its system
US5291318A (en) 1992-11-02 1994-03-01 Xerox Corporation Holographic member for a real-time clock in a raster output scanner
DE4311295A1 (en) * 1993-04-02 1994-10-06 Borus Spezialverfahren Identification system
JP3647885B2 (en) 1993-05-07 2005-05-18 日本電信電話株式会社 Image processing device
US6204331B1 (en) * 1993-06-01 2001-03-20 Spalding Sports Worldwide, Inc. Multi-layer golf ball utilizing silicone materials
DE4322445C1 (en) 1993-07-06 1995-02-09 Alfons Behnke Method for coding identification cards and for identifying such coded identification cards and means for carrying out the method, such as identification card, fingerprint sensor, fingerprint acceptance and comparison device
US5416573A (en) 1993-09-10 1995-05-16 Indentix Incorporated Apparatus for producing fingerprint images which are substantially free of artifacts attributable to moisture on the finger being imaged
US6064398A (en) * 1993-09-10 2000-05-16 Geovector Corporation Electro-optic vision systems
DE4332411A1 (en) 1993-09-23 1995-03-30 Bayerische Motoren Werke Ag Theft protection for motor vehicles with several control units for vehicle components
JPH07104183A (en) * 1993-10-08 1995-04-21 Olympus Optical Co Ltd Bright triplet lens
JP2821348B2 (en) 1993-10-21 1998-11-05 日本電気ソフトウェア株式会社 Fingerprint collation device
US5471240A (en) 1993-11-15 1995-11-28 Hughes Aircraft Company Nonuniformity correction of an imaging sensor using region-based correction terms
CA2109682C (en) 1993-11-22 1998-11-03 Lee F. Hartley Multiple bus interface
USD351144S (en) 1993-12-07 1994-10-04 Digital Biometrics, Inc. Handheld finger print scanner for imaging and capturing a photographic image
US6104809A (en) 1993-12-29 2000-08-15 Pitney Bowes Inc. Apparatus for verifying an identification card
US5384621A (en) 1994-01-04 1995-01-24 Xerox Corporation Document detection apparatus
WO1995022804A1 (en) 1994-02-18 1995-08-24 Imedge Technology, Inc. Method of producing and detecting high-contrast images of the surface topography of objects and a compact system for carrying out the same
US5973731A (en) 1994-03-03 1999-10-26 Schwab; Barry H. Secure identification system
US5528355A (en) 1994-03-11 1996-06-18 Idnetix Incorporated Electro-optic palm scanner system employing a non-planar platen
US5598474A (en) 1994-03-29 1997-01-28 Neldon P Johnson Process for encrypting a fingerprint onto an I.D. card
DE4416507C5 (en) 1994-05-10 2006-10-19 Volkswagen Ag Method for detecting a use authorization for a vehicle
US5448649A (en) 1994-05-24 1995-09-05 Chen; Wang S. Apparatus for imaging fingerprint or topographic relief pattern on the surface of an object
US5473144A (en) 1994-05-27 1995-12-05 Mathurin, Jr.; Trevor R. Credit card with digitized finger print and reading apparatus
US5509083A (en) 1994-06-15 1996-04-16 Nooral S. Abtahi Method and apparatus for confirming the identity of an individual presenting an identification card
US5469506A (en) 1994-06-27 1995-11-21 Pitney Bowes Inc. Apparatus for verifying an identification card and identifying a person by means of a biometric characteristic
US5689529A (en) 1994-08-02 1997-11-18 International Automated Systems, Inc. Communications method and apparatus for digital information
US5640422A (en) 1994-08-02 1997-06-17 International Automated Systems, Inc. Digital communications modulation method and apparatus
US5517528A (en) 1994-08-02 1996-05-14 International Automated Systems, Inc. Modulation method and apparatus for digital communications
US5613014A (en) 1994-10-12 1997-03-18 Martin Marietta Corp. Fingerprint matching system
GB9420634D0 (en) 1994-10-13 1994-11-30 Central Research Lab Ltd Apparatus and method for imaging skin ridges
US5596454A (en) 1994-10-28 1997-01-21 The National Registry, Inc. Uneven surface image transfer apparatus
US5615277A (en) 1994-11-28 1997-03-25 Hoffman; Ned Tokenless security system for authorizing access to a secured computer system
CN1167556A (en) 1994-11-30 1997-12-10 数字化的生物统计学公司 Palm printer
US5757278A (en) * 1994-12-26 1998-05-26 Kabushiki Kaisha Toshiba Personal verification system
US5591949A (en) 1995-01-06 1997-01-07 Bernstein; Robert J. Automatic portable account controller for remotely arranging for payment of debt to a vendor
DE69625398T2 (en) 1995-02-24 2003-09-04 Eastman Kodak Co Black pattern correction for a charge transfer sensor
US5625448A (en) 1995-03-16 1997-04-29 Printrak International, Inc. Fingerprint imaging
US5548394A (en) 1995-03-16 1996-08-20 Printrak International Inc. Scanning fingerprint reading
JP3494388B2 (en) * 1995-04-19 2004-02-09 日本電信電話株式会社 Fingerprint matching method and fingerprint matching device
WO1996033428A1 (en) 1995-04-20 1996-10-24 Leica Ag Retroreflector
US5942761A (en) 1995-06-07 1999-08-24 Tuli; Raja Singh Enhancement methods and devices for reading a fingerprint image
US5822445A (en) 1995-06-27 1998-10-13 Dew Engineering And Development Limited Apparatus for identifying fingerprints
US5629764A (en) * 1995-07-07 1997-05-13 Advanced Precision Technology, Inc. Prism fingerprint sensor using a holographic optical element
CA2156236C (en) * 1995-08-16 1999-07-20 Stephen J. Borza Biometrically secured control system for preventing the unauthorized use of a vehicle
US5815252A (en) 1995-09-05 1998-09-29 Canon Kabushiki Kaisha Biometric identification process and system utilizing multiple parameters scans for reduction of false negatives
AU706481B2 (en) * 1995-10-05 1999-06-17 Fujitsu Denso Ltd. Fingerprint registering method and fingerprint checking device
AU710515B2 (en) * 1995-10-05 1999-09-23 Digital Biometrics, Inc. Gambling chip recognition system
JP3522918B2 (en) * 1995-10-05 2004-04-26 富士写真フイルム株式会社 Image input device
US5805777A (en) 1995-10-11 1998-09-08 Eastman Kodak Company Extended printer control interface
US5818956A (en) 1995-10-23 1998-10-06 Tuli; Raja Singh Extended fingerprint reading apparatus
US5825474A (en) 1995-10-27 1998-10-20 Identix Corporation Heated optical platen cover for a fingerprint imaging system
US5907627A (en) * 1995-11-06 1999-05-25 Dew Engineering And Development Limited Contact imaging device
US5745684A (en) * 1995-11-06 1998-04-28 Sun Microsystems, Inc. Apparatus and method for providing a generic interface between a host system and an asynchronous transfer mode core functional block
US5793218A (en) 1995-12-15 1998-08-11 Lear Astronics Corporation Generic interface test adapter
US5717777A (en) 1996-01-11 1998-02-10 Dew Engineering And Development Limited Longest line method and apparatus for fingerprint alignment
US5726443A (en) 1996-01-18 1998-03-10 Chapman Glenn H Vision system and proximity detector
US5828773A (en) 1996-01-26 1998-10-27 Harris Corporation Fingerprint sensing method with finger position indication
AUPN802296A0 (en) 1996-02-12 1996-03-07 Fingerscan Pty Limited An input device for controlling a pointer on the screen of a computer
US5848231A (en) 1996-02-12 1998-12-08 Teitelbaum; Neil System configuration contingent upon secure input
US5859420A (en) * 1996-02-12 1999-01-12 Dew Engineering And Development Limited Optical imaging device
US5832244A (en) 1996-02-20 1998-11-03 Iomega Corporation Multiple interface input/output port for a peripheral device
US5778089A (en) * 1996-03-04 1998-07-07 Dew Engineering And Development Limited Driver circuit for a contact imaging array
US5859710A (en) * 1996-03-20 1999-01-12 Intel Corporation Digital copying system using a high speed data bus without the use of data buffers
US5809172A (en) 1996-04-17 1998-09-15 Canon Kabushiki Kaisha Non-linear aggregation mapping compression of image data and method
US5748766A (en) * 1996-04-30 1998-05-05 Identix Incorporated Method and device for reducing smear in a rolled fingerprint image
WO1997041527A1 (en) 1996-05-01 1997-11-06 Xros, Inc. Compact, simple, 2d raster, image-building fingerprint scanner
JP3678875B2 (en) * 1996-05-10 2005-08-03 株式会社リコー Image forming apparatus
US5801681A (en) 1996-06-24 1998-09-01 Sayag; Michel Method and apparatus for generating a control signal
GB2313441A (en) 1996-05-18 1997-11-26 Motorola Israel Ltd Power conserving scanning method
US5867822A (en) * 1996-06-26 1999-02-02 Sun Microsystems, Inc. Method and apparatus for management of electronic calendars throughout an enterprise and management of events in a distributed system
JP3473658B2 (en) 1996-07-18 2003-12-08 アルプス電気株式会社 Fingerprint reader
US5755748A (en) * 1996-07-24 1998-05-26 Dew Engineering & Development Limited Transcutaneous energy transfer device
US5736734A (en) 1996-08-12 1998-04-07 Fingermatrix, Inc. Liquid platen fingerprint image enhancement
US5680205A (en) 1996-08-16 1997-10-21 Dew Engineering And Development Ltd. Fingerprint imaging apparatus with auxiliary lens
JPH11514771A (en) * 1996-08-27 1999-12-14 カバ シュリースシステーメ アーゲー Method and apparatus for identifying undeployed fingerprints
US5963657A (en) 1996-09-09 1999-10-05 Arete Associates Economical skin-pattern-acquisition and analysis apparatus for access control; systems controlled thereby
US5872834A (en) * 1996-09-16 1999-02-16 Dew Engineering And Development Limited Telephone with biometric sensing device
CA2233942A1 (en) 1996-09-18 1998-03-26 Dew Engineering And Development Limited Biometric identification system for providing secure access
US5963656A (en) 1996-09-30 1999-10-05 International Business Machines Corporation System and method for determining the quality of fingerprint images
US5869822A (en) * 1996-10-04 1999-02-09 Meadows, Ii; Dexter L. Automated fingerprint identification system
FR2754369B1 (en) 1996-10-04 1998-12-18 Thomson Csf RELIEF FINGERPRINT ACQUISITION SYSTEM AND ACQUISITION METHOD
FR2754168B1 (en) 1996-10-04 1998-12-18 Thomson Csf METHOD FOR ACQUIRING FINGERPRINTS AND DEVICE FOR IMPLEMENTING IT
US6072891A (en) * 1997-02-21 2000-06-06 Dew Engineering And Development Limited Method of gathering biometric information
US6041372A (en) * 1996-12-30 2000-03-21 Intel Corporation Method and apparatus for providing a processor module for a computer system
JP3011126B2 (en) 1997-03-27 2000-02-21 日本電気株式会社 Fingerprint detection device
US6125192A (en) * 1997-04-21 2000-09-26 Digital Persona, Inc. Fingerprint recognition system
US6023522A (en) * 1997-05-05 2000-02-08 Draganoff; Georgi H. Inexpensive adaptive fingerprint image acquisition framegrabber
US6075876A (en) * 1997-05-07 2000-06-13 Draganoff; Georgi Hristoff Sliding yardsticks fingerprint enrollment and verification system and method
US5900993A (en) * 1997-05-09 1999-05-04 Cross Check Corporation Lens systems for use in fingerprint detection
US6018739A (en) * 1997-05-15 2000-01-25 Raytheon Company Biometric personnel identification system
US5920640A (en) 1997-05-16 1999-07-06 Harris Corporation Fingerprint sensor and token reader and associated methods
US6088585A (en) 1997-05-16 2000-07-11 Authentec, Inc. Portable telecommunication device including a fingerprint sensor and related methods
US6064753A (en) * 1997-06-10 2000-05-16 International Business Machines Corporation System and method for distortion control in live-scan inkless fingerprint images
JP3353878B2 (en) 1997-07-03 2002-12-03 富士通株式会社 Rotating fingerprint impression collection method
EP0996922A4 (en) * 1997-07-23 2001-01-17 Xros Inc Improved handheld document scanner
US5960100A (en) 1997-07-23 1999-09-28 Hargrove; Tom Credit card reader with thumb print verification means
US6240200B1 (en) * 1997-08-29 2001-05-29 Barry M. Wendt Optical fingerprint imager with improved optics
US5999307A (en) 1997-09-04 1999-12-07 The University Of British Columbia Method and apparatus for controllable frustration of total internal reflection
US6038332A (en) 1997-09-05 2000-03-14 Digital Biometrics, Inc. Method and apparatus for capturing the image of a palm
EP0905646A1 (en) 1997-09-30 1999-03-31 Compaq Computer Corporation Pointing and fingerprint identifier mechanism for a computer system
US5987155A (en) 1997-10-27 1999-11-16 Dew Engineering And Development Limited Biometric input device with peripheral port
US6281931B1 (en) 1997-11-04 2001-08-28 Tien Ren Tsao Method and apparatus for determining and correcting geometric distortions in electronic imaging systems
US6330345B1 (en) 1997-11-17 2001-12-11 Veridicom, Inc. Automatic adjustment processing for sensor devices
US5928347A (en) 1997-11-18 1999-07-27 Shuttle Technology Group Ltd. Universal memory card interface apparatus
US5920384A (en) 1997-12-09 1999-07-06 Dew Engineering And Development Limited Optical imaging device
US6041410A (en) 1997-12-22 2000-03-21 Trw Inc. Personal identification fob
US5995014A (en) 1997-12-30 1999-11-30 Accu-Time Systems, Inc. Biometric interface device for upgrading existing access control units
US6097873A (en) 1998-01-14 2000-08-01 Lucent Technologies Inc. Optical fiber attenuator device using an elastomeric attenuator member
US6195447B1 (en) * 1998-01-16 2001-02-27 Lucent Technologies Inc. System and method for fingerprint data verification
DE19804129C1 (en) 1998-02-03 1999-08-19 Rjm Rheinmetall Jena Image Tec Method and arrangement for obtaining image information about surface structures
US6078265A (en) * 1998-02-11 2000-06-20 Nettel Technologies, Inc. Fingerprint identification security system
US6000224A (en) 1998-03-05 1999-12-14 Foye; Matthew R. Travel mug
US6166787A (en) 1998-03-17 2000-12-26 Motorola, Inc. Optical display device having prismatic film for enhanced viewing
DE19818229A1 (en) * 1998-04-24 1999-10-28 Hauke Rudolf Contactless method for hand- and fingerprint recognition
US6178255B1 (en) * 1998-04-28 2001-01-23 Cross Match Technologies, Inc. Individualized fingerprint scanner
US6485981B1 (en) 1998-07-29 2002-11-26 Ciencia, Inc. Method and apparatus for imaging and documenting fingerprints
US6259108B1 (en) * 1998-10-09 2001-07-10 Kinetic Sciences Inc. Fingerprint image optical input apparatus
US6154285A (en) 1998-12-21 2000-11-28 Secugen Corporation Surface treatment for optical image capturing system
JP2000194829A (en) 1998-12-24 2000-07-14 Mitsubishi Electric Corp Irregular pattern reader
US6327047B1 (en) 1999-01-22 2001-12-04 Electronics For Imaging, Inc. Automatic scanner calibration
US6272562B1 (en) 1999-05-28 2001-08-07 Cross Match Technologies, Inc. Access control unit interface
WO2000079214A1 (en) 1999-06-23 2000-12-28 Johnson Neldon P Fingerprint sensing device and method
EP1224609A1 (en) * 1999-10-22 2002-07-24 Cross Match Technologies, Inc. Adjustable, rotatable finger guide in a tenprint scanner with movable prism platen
JP2001167268A (en) * 1999-12-07 2001-06-22 Nec Corp Fingerprint input device
JP3825222B2 (en) 2000-03-24 2006-09-27 松下電器産業株式会社 Personal authentication device, personal authentication system, and electronic payment system
US6643390B1 (en) 2000-04-19 2003-11-04 Polaroid Corporation Compact fingerprint identification device
JP2002062983A (en) * 2000-08-21 2002-02-28 Hitachi Ltd Pointing device
US6970582B2 (en) 2001-03-06 2005-11-29 Northrop Grumman Corporation Method and system for identity verification using multiple simultaneously scanned biometric images
WO2002088878A2 (en) * 2001-04-26 2002-11-07 Cross Match Technologies, Inc. Silicone rubber surfaces for biometric print tir prisms
US6733208B2 (en) * 2001-07-03 2004-05-11 Torch Offshore, Inc. Reel type pipeline laying ship and method
US6554538B2 (en) * 2001-07-03 2003-04-29 Torch Offshore, Inc. Reel type pipeline laying ship and method
US7272248B2 (en) * 2001-07-16 2007-09-18 Activcard Ireland Limited Biometric imaging device compensating for non-biometric parameters
US6802733B2 (en) * 2001-08-16 2004-10-12 International Business Machines Corporation Topside installation apparatus for land grid array modules
US6809303B2 (en) * 2001-11-13 2004-10-26 Cross Match Technologies, Inc. Platen heaters for biometric image capturing devices
US6872916B2 (en) * 2001-11-13 2005-03-29 Cross Match Technologies, Inc. System and method for biometric image capturing
US6954260B2 (en) * 2002-01-17 2005-10-11 Cross Match Technologies, Inc. Systems and methods for illuminating a platen in a print scanner
EP1476841B1 (en) 2002-01-17 2008-08-27 Cross Match Technologies, Inc. Fingerprint workstation and methods
US7155039B1 (en) * 2002-12-18 2006-12-26 Motorola, Inc. Automatic fingerprint identification system and method

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6282302B1 (en) * 1993-11-12 2001-08-28 Nec Corporation Fingerprint image cutout processing device for tenprint card
US5926555A (en) * 1994-10-20 1999-07-20 Calspan Corporation Fingerprint identification system
US5650842A (en) * 1995-10-27 1997-07-22 Identix Incorporated Device and method for obtaining a plain image of multiple fingerprints

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
See also references of EP1476841A2 *

Cited By (83)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP4756705B2 (en) * 2003-08-01 2011-08-24 クロス マッチ テクノロジーズ, インコーポレイテッド Biometric imaging system and method
JP2007501465A (en) * 2003-08-01 2007-01-25 クロス マッチ テクノロジーズ, インコーポレイテッド Biometric imaging system and method
EP1533759A1 (en) * 2003-11-19 2005-05-25 Ncr International Inc. Biometric system
US8131026B2 (en) 2004-04-16 2012-03-06 Validity Sensors, Inc. Method and apparatus for fingerprint image reconstruction
US8175345B2 (en) 2004-04-16 2012-05-08 Validity Sensors, Inc. Unitized ergonomic two-dimensional fingerprint motion tracking device and method
US8811688B2 (en) 2004-04-16 2014-08-19 Synaptics Incorporated Method and apparatus for fingerprint image reconstruction
US8229184B2 (en) 2004-04-16 2012-07-24 Validity Sensors, Inc. Method and algorithm for accurate finger motion tracking
US8358815B2 (en) 2004-04-16 2013-01-22 Validity Sensors, Inc. Method and apparatus for two-dimensional finger motion tracking and control
US8315444B2 (en) 2004-04-16 2012-11-20 Validity Sensors, Inc. Unitized ergonomic two-dimensional fingerprint motion tracking device and method
US8077935B2 (en) 2004-04-23 2011-12-13 Validity Sensors, Inc. Methods and apparatus for acquiring a swiped fingerprint image
EP1612716A3 (en) * 2004-06-28 2007-08-08 Fujitsu Limited User interface for image input in a biometric authentication device; corresponding biometric authentication device, method and program
EP1612716A2 (en) * 2004-06-28 2006-01-04 Fujitsu Limited User interface for image input in a biometric authentication device; corresponding biometric authentication device, method and program
US7697730B2 (en) 2004-07-30 2010-04-13 Fujitsu Limited Guidance screen control method of biometrics authentication device, biometrics authentication device, and program for same
US8867799B2 (en) 2004-10-04 2014-10-21 Synaptics Incorporated Fingerprint sensing assemblies and methods of making
US8224044B2 (en) 2004-10-04 2012-07-17 Validity Sensors, Inc. Fingerprint sensing assemblies and methods of making
US10776604B2 (en) 2006-04-26 2020-09-15 Aware, Inc. Fingerprint preview quality and segmentation
US9792483B2 (en) 2006-04-26 2017-10-17 Aware, Inc. Fingerprint preview quality and segmentation
EP2230627A3 (en) * 2006-04-26 2012-03-28 Aware, Inc. Fingerprint preview quality and segmentation
WO2007123557A1 (en) * 2006-04-26 2007-11-01 Aware, Inc. Fingerprint preview quality and segmentation
US10325137B2 (en) 2006-04-26 2019-06-18 Aware, Inc. Fingerprint preview quality and segmentation
JP2009535687A (en) * 2006-04-26 2009-10-01 アウェア, インコーポレイテッド Fingerprint preview quality and subdivision
US8238621B2 (en) 2006-04-26 2012-08-07 Aware, Inc. Fingerprint preview quality and segmentation
US11250239B2 (en) 2006-04-26 2022-02-15 Aware, Inc. Fingerprint preview quality and segmentation
US10083339B2 (en) 2006-04-26 2018-09-25 Aware, Inc. Fingerprint preview quality and segmentation
US9031291B2 (en) 2006-04-26 2015-05-12 Aware, Inc. Fingerprint preview quality and segmentation
US9152843B2 (en) 2006-04-26 2015-10-06 Aware, Inc. Fingerprint preview quality and segmentation
US8452060B2 (en) 2006-04-26 2013-05-28 Aware, Inc. Fingerprint preview quality and segmentation
US7936907B2 (en) 2006-04-26 2011-05-03 Aware, Inc. Fingerprint preview quality and segmentation
US9626548B2 (en) 2006-04-26 2017-04-18 Aware, Inc. Fingerprint preview quality and segmentation
US9405957B2 (en) 2006-04-26 2016-08-02 Aware, Inc. Fingerprint preview quality and segmentation
US8447077B2 (en) 2006-09-11 2013-05-21 Validity Sensors, Inc. Method and apparatus for fingerprint motion tracking using an in-line array
US8165355B2 (en) 2006-09-11 2012-04-24 Validity Sensors, Inc. Method and apparatus for fingerprint motion tracking using an in-line array for use in navigation applications
US8693736B2 (en) 2006-09-11 2014-04-08 Synaptics Incorporated System for determining the motion of a fingerprint surface with respect to a sensor surface
US8107212B2 (en) 2007-04-30 2012-01-31 Validity Sensors, Inc. Apparatus and method for protecting fingerprint sensing circuitry from electrostatic discharge
US8290150B2 (en) 2007-05-11 2012-10-16 Validity Sensors, Inc. Method and system for electronically securing an electronic device using physically unclonable functions
US8276816B2 (en) 2007-12-14 2012-10-02 Validity Sensors, Inc. Smart card system with ergonomic fingerprint sensor and method of using
US8204281B2 (en) 2007-12-14 2012-06-19 Validity Sensors, Inc. System and method to remove artifacts from fingerprint sensor scans
US8787632B2 (en) 2008-04-04 2014-07-22 Synaptics Incorporated Apparatus and method for reducing noise in fingerprint sensing circuits
USRE45650E1 (en) 2008-04-04 2015-08-11 Synaptics Incorporated Apparatus and method for reducing parasitic capacitive coupling and noise in fingerprint sensing circuits
US8005276B2 (en) 2008-04-04 2011-08-23 Validity Sensors, Inc. Apparatus and method for reducing parasitic capacitive coupling and noise in fingerprint sensing circuits
US8116540B2 (en) 2008-04-04 2012-02-14 Validity Sensors, Inc. Apparatus and method for reducing noise in fingerprint sensing circuits
US8520913B2 (en) 2008-04-04 2013-08-27 Validity Sensors, Inc. Apparatus and method for reducing noise in fingerprint sensing circuits
US8698594B2 (en) 2008-07-22 2014-04-15 Synaptics Incorporated System, device and method for securing a user device component by authenticating the user of a biometric sensor by performance of a replication of a portion of an authentication process performed at a remote computing device
US8391568B2 (en) 2008-11-10 2013-03-05 Validity Sensors, Inc. System and method for improved scanning of fingerprint edges
US8600122B2 (en) 2009-01-15 2013-12-03 Validity Sensors, Inc. Apparatus and method for culling substantially redundant data in fingerprint sensing circuits
US8278946B2 (en) 2009-01-15 2012-10-02 Validity Sensors, Inc. Apparatus and method for detecting finger activity on a fingerprint sensor
US8593160B2 (en) 2009-01-15 2013-11-26 Validity Sensors, Inc. Apparatus and method for finger activity on a fingerprint sensor
US8374407B2 (en) 2009-01-28 2013-02-12 Validity Sensors, Inc. Live finger detection
EP2219136A1 (en) * 2009-02-17 2010-08-18 Validity Sensors, Inc. Illuminated fingerprint sensor and method
US9274553B2 (en) 2009-10-30 2016-03-01 Synaptics Incorporated Fingerprint sensor and integratable electronic display
US9336428B2 (en) 2009-10-30 2016-05-10 Synaptics Incorporated Integrated fingerprint sensor and display
US9400911B2 (en) 2009-10-30 2016-07-26 Synaptics Incorporated Fingerprint sensor and integratable electronic display
US9659208B2 (en) 2010-01-15 2017-05-23 Idex Asa Biometric image sensing
US10115001B2 (en) 2010-01-15 2018-10-30 Idex Asa Biometric image sensing
US11080504B2 (en) 2010-01-15 2021-08-03 Idex Biometrics Asa Biometric image sensing
US10592719B2 (en) 2010-01-15 2020-03-17 Idex Biometrics Asa Biometric image sensing
US9666635B2 (en) 2010-02-19 2017-05-30 Synaptics Incorporated Fingerprint sensing circuit
US8716613B2 (en) 2010-03-02 2014-05-06 Synaptics Incoporated Apparatus and method for electrostatic discharge protection
US9001040B2 (en) 2010-06-02 2015-04-07 Synaptics Incorporated Integrated fingerprint sensor and navigation device
US8331096B2 (en) 2010-08-20 2012-12-11 Validity Sensors, Inc. Fingerprint acquisition expansion card apparatus
US8929619B2 (en) 2011-01-26 2015-01-06 Synaptics Incorporated System and method of image reconstruction with dual line scanner using line counts
US8811723B2 (en) 2011-01-26 2014-08-19 Synaptics Incorporated User input utilizing dual line scanner apparatus and method
US8594393B2 (en) 2011-01-26 2013-11-26 Validity Sensors System for and method of image reconstruction with dual line scanner using line counts
US8538097B2 (en) 2011-01-26 2013-09-17 Validity Sensors, Inc. User input utilizing dual line scanner apparatus and method
US10636717B2 (en) 2011-03-16 2020-04-28 Amkor Technology, Inc. Packaging for fingerprint sensors and methods of manufacture
US9406580B2 (en) 2011-03-16 2016-08-02 Synaptics Incorporated Packaging for fingerprint sensors and methods of manufacture
USRE47890E1 (en) 2011-03-16 2020-03-03 Amkor Technology, Inc. Packaging for fingerprint sensors and methods of manufacture
US10043052B2 (en) 2011-10-27 2018-08-07 Synaptics Incorporated Electronic device packages and methods
US9195877B2 (en) 2011-12-23 2015-11-24 Synaptics Incorporated Methods and devices for capacitive image sensing
US9785299B2 (en) 2012-01-03 2017-10-10 Synaptics Incorporated Structures and manufacturing methods for glass covered electronic devices
US9697411B2 (en) 2012-03-27 2017-07-04 Synaptics Incorporated Biometric object sensor and method
US9824200B2 (en) 2012-03-27 2017-11-21 Synaptics Incorporated Wakeup strategy using a biometric sensor
US9137438B2 (en) 2012-03-27 2015-09-15 Synaptics Incorporated Biometric object sensor and method
US9268991B2 (en) 2012-03-27 2016-02-23 Synaptics Incorporated Method of and system for enrolling and matching biometric data
US9251329B2 (en) 2012-03-27 2016-02-02 Synaptics Incorporated Button depress wakeup and wakeup strategy
US10346699B2 (en) 2012-03-28 2019-07-09 Synaptics Incorporated Methods and systems for enrolling biometric data
US9600709B2 (en) 2012-03-28 2017-03-21 Synaptics Incorporated Methods and systems for enrolling biometric data
US9152838B2 (en) 2012-03-29 2015-10-06 Synaptics Incorporated Fingerprint sensor packagings and methods
US10088939B2 (en) 2012-04-10 2018-10-02 Idex Asa Biometric sensing
US10101851B2 (en) 2012-04-10 2018-10-16 Idex Asa Display with integrated touch screen and fingerprint sensor
US10114497B2 (en) 2012-04-10 2018-10-30 Idex Asa Biometric sensing
US9798917B2 (en) 2012-04-10 2017-10-24 Idex Asa Biometric sensing
US9665762B2 (en) 2013-01-11 2017-05-30 Synaptics Incorporated Tiered wakeup strategy

Also Published As

Publication number Publication date
US20050180619A1 (en) 2005-08-18
JP2005516290A (en) 2005-06-02
WO2003063054A3 (en) 2004-05-13
DE60323208D1 (en) 2008-10-09
AU2003207563A1 (en) 2003-09-02
US7203344B2 (en) 2007-04-10
EP1476841B1 (en) 2008-08-27
EP1476841A2 (en) 2004-11-17
CN100437624C (en) 2008-11-26
US7308122B2 (en) 2007-12-11
EP1476841A4 (en) 2006-07-05
CN1633671A (en) 2005-06-29
US20030142856A1 (en) 2003-07-31
US8073209B2 (en) 2011-12-06
US20030133143A1 (en) 2003-07-17
ATE406626T1 (en) 2008-09-15

Similar Documents

Publication Publication Date Title
EP1476841B1 (en) Fingerprint workstation and methods
US7218761B2 (en) System for obtaining print and other hand characteristic information using a non-planar prism
EP1661060B1 (en) Biometric imaging capture system and method
EP1312040B1 (en) Fingerprint scanner auto-capture system and method
US5467403A (en) Portable fingerprint scanning apparatus for identification verification
JP2881594B2 (en) Electro-optical imaging system and method for acquiring data for imaging of palms and heels of a person in an electro-optical imaging system
US5732148A (en) Apparatus and method for electronically acquiring fingerprint images with low cost removable platen and separate imaging device
US5920384A (en) Optical imaging device
US7119890B2 (en) System and method for illuminating a platen in a live scanner and producing high-contrast print images
WO1999012123A1 (en) Method and apparatus for capturing the image of a palm
US20060133656A1 (en) System and method for counting ridges in a captured print image
Wong et al. Real-time palmprint acquisition system design
US20050089204A1 (en) Rolled print prism and system
WO2004080052A2 (en) Dynamic image adaptation method for adjusting the quality of digital prints
US6872916B2 (en) System and method for biometric image capturing
US7180643B2 (en) Live print scanner with holographic imaging a different magnifications
EP1096417A2 (en) Spurious fingerprint rejection by variable illumination
US20050184052A1 (en) System and method for biometric image capturing
WO2009032916A1 (en) High performance multi-mode palmprint and fingerprint scanning device and system
WO2001065466A2 (en) Method and apparatus for detecting a color change of a live finger
JPS63177279A (en) Individual identifying device

Legal Events

Date Code Title Description
AK Designated states

Kind code of ref document: A2

Designated state(s): AE AG AL AM AT AU AZ BA BB BG BR BY BZ CA CH CN CO CR CU CZ DE DK DM DZ EC EE ES FI GB GD GE GH GM HR HU ID IL IN IS JP KE KG KP KR KZ LC LK LR LS LT LU LV MA MD MG MK MN MW MX MZ NO NZ OM PH PL PT RO RU SC SD SE SG SK SL TJ TM TN TR TT TZ UA UG UZ VC VN YU ZA ZM ZW

AL Designated countries for regional patents

Kind code of ref document: A2

Designated state(s): GH GM KE LS MW MZ SD SL SZ TZ UG ZM ZW AM AZ BY KG KZ MD RU TJ TM AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HU IE IT LU MC NL PT SE SI SK TR BF BJ CF CG CI CM GA GN GQ GW ML MR NE SN TD TG

121 Ep: the epo has been informed by wipo that ep was designated in this application
DFPE Request for preliminary examination filed prior to expiration of 19th month from priority date (pct application filed before 20040101)
WWE Wipo information: entry into national phase

Ref document number: 2003562846

Country of ref document: JP

WWE Wipo information: entry into national phase

Ref document number: 2003705774

Country of ref document: EP

WWE Wipo information: entry into national phase

Ref document number: 20038040999

Country of ref document: CN

WWP Wipo information: published in national office

Ref document number: 2003705774

Country of ref document: EP