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GB2450027A - Invariant radial iris segmentation - Google Patents

Invariant radial iris segmentation Download PDF

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Publication number
GB2450027A
GB2450027A GB0815933A GB0815933A GB2450027A GB 2450027 A GB2450027 A GB 2450027A GB 0815933 A GB0815933 A GB 0815933A GB 0815933 A GB0815933 A GB 0815933A GB 2450027 A GB2450027 A GB 2450027A
Authority
GB
United Kingdom
Prior art keywords
iris
subject
image
template
radial
Prior art date
Legal status (The legal status 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 status listed.)
Granted
Application number
GB0815933A
Other versions
GB0815933D0 (en
GB2450027B (en
Inventor
Rida M Hamza
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Honeywell International Inc
Original Assignee
Honeywell International 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
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 International Inc filed Critical Honeywell International Inc
Publication of GB0815933D0 publication Critical patent/GB0815933D0/en
Publication of GB2450027A publication Critical patent/GB2450027A/en
Application granted granted Critical
Publication of GB2450027B publication Critical patent/GB2450027B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

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
    • G06V40/18—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
    • G06K9/00597—
    • G06K9/0061—
    • 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
    • G06V10/751—Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Health & Medical Sciences (AREA)
  • Multimedia (AREA)
  • General Health & Medical Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Physics & Mathematics (AREA)
  • Human Computer Interaction (AREA)
  • Ophthalmology & Optometry (AREA)
  • Computing Systems (AREA)
  • Software Systems (AREA)
  • Medical Informatics (AREA)
  • Evolutionary Computation (AREA)
  • Databases & Information Systems (AREA)
  • Artificial Intelligence (AREA)
  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
  • Collating Specific Patterns (AREA)

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.
GB0815933A 2006-03-03 2007-03-01 Invariant radial iris segmentation Active GB2450027B (en)

Applications Claiming Priority (4)

Application Number Priority Date Filing Date Title
US77877006P 2006-03-03 2006-03-03
US11/372,854 US8442276B2 (en) 2006-03-03 2006-03-10 Invariant radial iris segmentation
US11/382,373 US8064647B2 (en) 2006-03-03 2006-05-09 System for iris detection tracking and recognition at a distance
PCT/US2007/063019 WO2007103698A2 (en) 2006-03-03 2007-03-01 Invariant radial iris segmentation

Publications (3)

Publication Number Publication Date
GB0815933D0 GB0815933D0 (en) 2008-10-08
GB2450027A true GB2450027A (en) 2008-12-10
GB2450027B GB2450027B (en) 2011-05-18

Family

ID=38353648

Family Applications (1)

Application Number Title Priority Date Filing Date
GB0815933A Active GB2450027B (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)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
GB2468380A (en) * 2009-03-02 2010-09-08 Honeywell Int Inc Blur estimation in eye images via cosine amplitude and phase matching
US8873810B2 (en) 2009-03-02 2014-10-28 Honeywell International Inc. Feature-based method and system for blur estimation in eye images

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
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
EP1615171B1 (en) * 2003-04-02 2016-06-01 Panasonic Intellectual Property Management Co., Ltd. Image processing method, image processor, photographing apparatus, image output unit and iris verify unit

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, ELSEVEIR, KIDLINGTON, GB, vol.37, no.6, June 2004 (2004-06), pages 1287-1298, XP004505327 ISSN:0031-3203, sections 3.33 Image Enhancement and 4. Feature extraction abstract *

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
GB2468380A (en) * 2009-03-02 2010-09-08 Honeywell Int Inc Blur estimation in eye images via cosine amplitude and phase matching
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

Also Published As

Publication number Publication date
WO2007103698A2 (en) 2007-09-13
GB0815933D0 (en) 2008-10-08
GB2450027B (en) 2011-05-18
KR20080100256A (en) 2008-11-14
JP4805359B2 (en) 2011-11-02
WO2007103698A3 (en) 2007-11-22
KR101423153B1 (en) 2014-07-25
JP2009529195A (en) 2009-08-13

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