WO2007103698A3 - Invariant radial iris segmentation - Google Patents

Invariant radial iris segmentation Download PDF

Info

Publication number
WO2007103698A3
WO2007103698A3 PCT/US2007/063019 US2007063019W WO2007103698A3 WO 2007103698 A3 WO2007103698 A3 WO 2007103698A3 US 2007063019 W US2007063019 W US 2007063019W WO 2007103698 A3 WO2007103698 A3 WO 2007103698A3
Authority
WO
WIPO (PCT)
Prior art keywords
iris
subject
image
template
radial
Prior art date
Application number
PCT/US2007/063019
Other languages
French (fr)
Other versions
WO2007103698A2 (en
Inventor
Rida M Hamza
Original Assignee
Honeywell Int Inc
Rida M Hamza
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
Priority claimed from US11/372,854 external-priority patent/US8442276B2/en
Priority claimed from US11/382,373 external-priority patent/US8064647B2/en
Application filed by Honeywell Int Inc, Rida M Hamza filed Critical Honeywell Int Inc
Priority to JP2008558461A priority Critical patent/JP4805359B2/en
Priority to GB0815933A priority patent/GB2450027B/en
Priority to KR1020087022043A priority patent/KR101423153B1/en
Publication of WO2007103698A2 publication Critical patent/WO2007103698A2/en
Publication of WO2007103698A3 publication Critical patent/WO2007103698A3/en

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/117—Identification of persons
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/74—Image or video pattern matching; Proximity measures in feature spaces
    • G06V10/75—Organisation of the matching processes, e.g. simultaneous or sequential comparisons of image or video features; Coarse-fine approaches, e.g. multi-scale approaches; using context analysis; Selection of dictionaries
    • 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
    • G06V40/18—Eye characteristics, e.g. of the iris
    • 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
    • G06V40/18—Eye characteristics, e.g. of the iris
    • G06V40/193—Preprocessing; Feature extraction

Abstract

A method and computer product are presented for identifying a subject by biometric analysis of an eye. First, an image of the iris of a subject to be identified is acquired. Texture enhancements may be done to the image as desired, but are not necessary. Next, the iris image is radially segmented into a selected number of radial segments, for example 200 segments, each segment representing 1.8° of the iris scan. After segmenting, each radial segment is analyzed, and the peaks and valleys of color intensity are detected in the iris radial segment. These detected peaks and valleys are mathematically transformed into a data set used to construct a template. The template represents the subject's scanned and analyzed iris, being constructed of each transformed data set from each of the radial segments. After construction, this template may be stored in a database, or used for matching purposes if the subject is already registered in the database.
PCT/US2007/063019 2006-03-03 2007-03-01 Invariant radial iris segmentation WO2007103698A2 (en)

Priority Applications (3)

Application Number Priority Date Filing Date Title
JP2008558461A JP4805359B2 (en) 2006-03-03 2007-03-01 Invariant radial iris segmentation
GB0815933A GB2450027B (en) 2006-03-03 2007-03-01 Invariant radial iris segmentation
KR1020087022043A KR101423153B1 (en) 2006-03-03 2007-03-01 Invariant radial iris segmentation

Applications Claiming Priority (6)

Application Number Priority Date Filing Date Title
US77877006P 2006-03-03 2006-03-03
US60/778,770 2006-03-03
US11/372,854 2006-03-10
US11/372,854 US8442276B2 (en) 2006-03-03 2006-03-10 Invariant radial iris segmentation
US11/382,373 2006-05-09
US11/382,373 US8064647B2 (en) 2006-03-03 2006-05-09 System for iris detection tracking and recognition at a distance

Publications (2)

Publication Number Publication Date
WO2007103698A2 WO2007103698A2 (en) 2007-09-13
WO2007103698A3 true WO2007103698A3 (en) 2007-11-22

Family

ID=38353648

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/US2007/063019 WO2007103698A2 (en) 2006-03-03 2007-03-01 Invariant radial iris segmentation

Country Status (4)

Country Link
JP (1) JP4805359B2 (en)
KR (1) KR101423153B1 (en)
GB (1) GB2450027B (en)
WO (1) WO2007103698A2 (en)

Families Citing this family (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
GB2468380B (en) * 2009-03-02 2011-05-04 Honeywell Int Inc A feature-based method and system for blur estimation in eye images
US8873810B2 (en) 2009-03-02 2014-10-28 Honeywell International Inc. Feature-based method and system for blur estimation in eye images
US8948467B2 (en) * 2010-08-06 2015-02-03 Honeywell International Inc. Ocular and iris processing system and method
FR2979727B1 (en) * 2011-09-06 2013-08-30 Morpho IDENTIFICATION BY RECOGNITION OF IRIS
KR101601564B1 (en) * 2014-12-30 2016-03-09 가톨릭대학교 산학협력단 Face detection method using circle blocking of face and apparatus thereof

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2000062239A1 (en) * 1999-04-09 2000-10-19 Iritech Inc. Iris identification system and method of identifying a person through iris recognition
US20050207614A1 (en) * 2004-03-22 2005-09-22 Microsoft Corporation Iris-based biometric identification

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2001195594A (en) * 1999-04-09 2001-07-19 Iritech Inc Iris identifying system and method of identifying person by iris recognition
JP3768225B2 (en) * 2003-04-02 2006-04-19 松下電器産業株式会社 Image processing method, image processing apparatus, photographing apparatus, and image output apparatus

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2000062239A1 (en) * 1999-04-09 2000-10-19 Iritech Inc. Iris identification system and method of identifying a person through iris recognition
US20050207614A1 (en) * 2004-03-22 2005-09-22 Microsoft Corporation Iris-based biometric identification

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
MA L ET AL: "Local intensity variation analysis for iris recognition", PATTERN RECOGNITION, ELSEVIER, KIDLINGTON, GB, vol. 37, no. 6, June 2004 (2004-06-01), pages 1287 - 1298, XP004505327, ISSN: 0031-3203 *

Also Published As

Publication number Publication date
GB2450027A (en) 2008-12-10
KR101423153B1 (en) 2014-07-25
JP4805359B2 (en) 2011-11-02
KR20080100256A (en) 2008-11-14
JP2009529195A (en) 2009-08-13
WO2007103698A2 (en) 2007-09-13
GB0815933D0 (en) 2008-10-08
GB2450027B (en) 2011-05-18

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