WO2002096181A3 - Fingerprint recognition system - Google Patents

Fingerprint recognition system Download PDF

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Publication number
WO2002096181A3
WO2002096181A3 PCT/US2002/016684 US0216684W WO02096181A3 WO 2002096181 A3 WO2002096181 A3 WO 2002096181A3 US 0216684 W US0216684 W US 0216684W WO 02096181 A3 WO02096181 A3 WO 02096181A3
Authority
WO
WIPO (PCT)
Prior art keywords
fingerprint
minutiae
ridge curves
templates
piece
Prior art date
Application number
PCT/US2002/016684
Other languages
French (fr)
Other versions
WO2002096181A2 (en
Inventor
Shing-Tung Yau
Xianfeng Gu
Zhiwu Zhang
Original Assignee
Biometric Informatics Technolo
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 Biometric Informatics Technolo filed Critical Biometric Informatics Technolo
Priority to AU2002318165A priority Critical patent/AU2002318165A1/en
Publication of WO2002096181A2 publication Critical patent/WO2002096181A2/en
Publication of WO2002096181A3 publication Critical patent/WO2002096181A3/en

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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
    • G06V40/1347Preprocessing; Feature extraction
    • G06V40/1353Extracting features related to minutiae or pores
    • 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
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/12Fingerprints or palmprints
    • G06V40/1347Preprocessing; Feature extraction
    • 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
    • G06V40/1347Preprocessing; Feature extraction
    • G06V40/1359Extracting features related to ridge properties; Determining the fingerprint type, e.g. whorl or loop
    • 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
    • G06V40/1365Matching; Classification

Abstract

A method of analyzing and recognizing fingerprint images that utilizes vector processing of a vector field that is defined as the tangential vector of the fingerprint ridge curves is disclosed. The raw fingerprint image is divided into blocks (204), filtered to remove noise (208), and the orientation direction of each block is found (210). This allows the ridge curves to be enhanced and approximated by piece-wise linear approximations (218). The piece-wise linear approximations to the ridge curves allow the minutiae to be extracted (220) and classified and a fingerprint minutiae template (224) to be constructed. An enrollment process gathers multiple fingerprint images, creates fingerprint minutiae templates (110) corresponding to the acquired fingerprint images, and stores the templates (112) and other data associated with the respective individual or the enrolled fingerprint in a fingerprint database.
PCT/US2002/016684 2001-05-25 2002-05-28 Fingerprint recognition system WO2002096181A2 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
AU2002318165A AU2002318165A1 (en) 2001-05-25 2002-05-28 Fingerprint recognition system

Applications Claiming Priority (4)

Application Number Priority Date Filing Date Title
US29348701P 2001-05-25 2001-05-25
US60/293,487 2001-05-25
US33894901P 2001-10-22 2001-10-22
US60/338,949 2001-10-22

Publications (2)

Publication Number Publication Date
WO2002096181A2 WO2002096181A2 (en) 2002-12-05
WO2002096181A3 true WO2002096181A3 (en) 2003-04-03

Family

ID=26967980

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/US2002/016684 WO2002096181A2 (en) 2001-05-25 2002-05-28 Fingerprint recognition system

Country Status (3)

Country Link
US (3) US6876757B2 (en)
AU (1) AU2002318165A1 (en)
WO (1) WO2002096181A2 (en)

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Also Published As

Publication number Publication date
WO2002096181A2 (en) 2002-12-05
US20080095413A1 (en) 2008-04-24
US20030039382A1 (en) 2003-02-27
US20050157913A1 (en) 2005-07-21
AU2002318165A1 (en) 2002-12-09
US6876757B2 (en) 2005-04-05

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