WO2015153212A3 - System and method for detecting potential fraud between a probe biometric and a dataset of biometrics - Google Patents

System and method for detecting potential fraud between a probe biometric and a dataset of biometrics Download PDF

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Publication number
WO2015153212A3
WO2015153212A3 PCT/US2015/022393 US2015022393W WO2015153212A3 WO 2015153212 A3 WO2015153212 A3 WO 2015153212A3 US 2015022393 W US2015022393 W US 2015022393W WO 2015153212 A3 WO2015153212 A3 WO 2015153212A3
Authority
WO
WIPO (PCT)
Prior art keywords
dataset
facial images
potential fraud
facial
facial image
Prior art date
Application number
PCT/US2015/022393
Other languages
French (fr)
Other versions
WO2015153212A2 (en
Inventor
Chris ROLLER
Original Assignee
Digital Signal Corporation
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
Application filed by Digital Signal Corporation filed Critical Digital Signal Corporation
Publication of WO2015153212A2 publication Critical patent/WO2015153212A2/en
Publication of WO2015153212A3 publication Critical patent/WO2015153212A3/en

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Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16—Human faces, e.g. facial parts, sketches or expressions
    • G06V40/172—Classification, e.g. identification
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/23—Clustering techniques
    • G06F18/232—Non-hierarchical techniques
    • G06F18/2323—Non-hierarchical techniques based on graph theory, e.g. minimum spanning trees [MST] or graph cuts
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16—Human faces, e.g. facial parts, sketches or expressions
    • G06V40/179—Human faces, e.g. facial parts, sketches or expressions metadata assisted face recognition

Abstract

A system and method for detecting a potential match between a candidate facial image and a dataset of facial images is described. Some implementations of the invention determine whether a candidate facial image (or multiple facial images) of a person taken, for example, at point of entry corresponds to one or more facial images stored in a dataset of persons of interest (e.g., suspects, criminals, terrorists, employees, VIPs, "whales," etc.). Some implementations of the invention detect potential fraud in a dataset of facial images. In a first form of potential fraud, a same facial image is associated with multiple identities. In a second form of potential fraud, different facial images are associated with a single identity, as in the case, for example, of identity theft. According to various implementations of the invention, spectral clustering techniques are used to determine a likelihood that pairs of facial images (or pairs of facial image sets) correspond to the person or different persons.
PCT/US2015/022393 2014-03-30 2015-03-25 System and method for detecting potential fraud between a probe biometric and a dataset of biometrics WO2015153212A2 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US201461972371P 2014-03-30 2014-03-30
US61/972,371 2014-03-30

Publications (2)

Publication Number Publication Date
WO2015153212A2 WO2015153212A2 (en) 2015-10-08
WO2015153212A3 true WO2015153212A3 (en) 2015-11-26

Family

ID=54241416

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/US2015/022393 WO2015153212A2 (en) 2014-03-30 2015-03-25 System and method for detecting potential fraud between a probe biometric and a dataset of biometrics

Country Status (1)

Country Link
WO (1) WO2015153212A2 (en)

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20070005988A1 (en) * 2005-06-29 2007-01-04 Microsoft Corporation Multimodal authentication
US20070071288A1 (en) * 2005-09-29 2007-03-29 Quen-Zong Wu Facial features based human face recognition method
US20070266154A1 (en) * 2006-03-29 2007-11-15 Fujitsu Limited User authentication system, fraudulent user determination method and computer program product
US20090185746A1 (en) * 2008-01-22 2009-07-23 The University Of Western Australia Image recognition
US20120134576A1 (en) * 2010-11-26 2012-05-31 Sharma Avinash Automatic recognition of images
US20120230545A1 (en) * 2009-11-30 2012-09-13 Tong Zhang Face Recognition Apparatus and Methods
US20130141559A1 (en) * 2004-09-17 2013-06-06 Proximex Corporation Adaptive multi-modal integrated biometric identification detection and surveillance systems

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20130141559A1 (en) * 2004-09-17 2013-06-06 Proximex Corporation Adaptive multi-modal integrated biometric identification detection and surveillance systems
US20070005988A1 (en) * 2005-06-29 2007-01-04 Microsoft Corporation Multimodal authentication
US20070071288A1 (en) * 2005-09-29 2007-03-29 Quen-Zong Wu Facial features based human face recognition method
US20070266154A1 (en) * 2006-03-29 2007-11-15 Fujitsu Limited User authentication system, fraudulent user determination method and computer program product
US20090185746A1 (en) * 2008-01-22 2009-07-23 The University Of Western Australia Image recognition
US20120230545A1 (en) * 2009-11-30 2012-09-13 Tong Zhang Face Recognition Apparatus and Methods
US20120134576A1 (en) * 2010-11-26 2012-05-31 Sharma Avinash Automatic recognition of images

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
WECHSLER: "Intelligent Biometric Information Management.", INTELLIGENT INFORMATION MANAGEMENT, September 2010 (2010-09-01), XP055229193, Retrieved from the Internet <URL:http://www.scirp.org/journal/PaperInformation.aspx?PaperID=2778> [retrieved on 20150626] *

Also Published As

Publication number Publication date
WO2015153212A2 (en) 2015-10-08

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