WO2007025258A3 - Methods and systems for biometric identification - Google Patents

Methods and systems for biometric identification Download PDF

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Publication number
WO2007025258A3
WO2007025258A3 PCT/US2006/033580 US2006033580W WO2007025258A3 WO 2007025258 A3 WO2007025258 A3 WO 2007025258A3 US 2006033580 W US2006033580 W US 2006033580W WO 2007025258 A3 WO2007025258 A3 WO 2007025258A3
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WO
WIPO (PCT)
Prior art keywords
iris
modified
template
image
previously stored
Prior art date
Application number
PCT/US2006/033580
Other languages
French (fr)
Other versions
WO2007025258A2 (en
Inventor
James R Matey
James R Bergen
Original Assignee
Sarnoff Corp
James R Matey
James R Bergen
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 Sarnoff Corp, James R Matey, James R Bergen filed Critical Sarnoff Corp
Publication of WO2007025258A2 publication Critical patent/WO2007025258A2/en
Publication of WO2007025258A3 publication Critical patent/WO2007025258A3/en

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    • 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
    • G06V40/18Eye characteristics, e.g. of the iris
    • G06V40/197Matching; Classification
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/28Determining representative reference patterns, e.g. by averaging or distorting; Generating dictionaries
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/70Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/77Processing image or video features in feature spaces; using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]; Blind source separation
    • G06V10/772Determining representative reference patterns, e.g. averaging or distorting patterns; Generating dictionaries

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

Abstract

A method for identifying an iris image can include obtaining an iris image (24) of an eye, segmenting the iris image, generating, from the segmented iris image, a normalized iris image, and generating, from the normalized iris image, an iris template (28). The method can also include generating a modified iris template by extracting a portion of the iris template, comparing the modified iris template with a plurality of previously stored other modified iris templates and matching the modified iris template with one of the plurality of previously stored other modified iris templates The method can also include generating a modified iris template by extracting a portion of the iris template, comparing the modified iris template with a plurality of previously stored other modified iris templates, and matching the modified ins template with one of the plurality of previously stored other modified iris templates (30).
PCT/US2006/033580 2005-08-25 2006-08-25 Methods and systems for biometric identification WO2007025258A2 (en)

Applications Claiming Priority (6)

Application Number Priority Date Filing Date Title
US71110605P 2005-08-25 2005-08-25
US71110705P 2005-08-25 2005-08-25
US71110505P 2005-08-25 2005-08-25
US60/711,105 2005-08-25
US60/711,107 2005-08-25
US60/711,106 2005-08-25

Publications (2)

Publication Number Publication Date
WO2007025258A2 WO2007025258A2 (en) 2007-03-01
WO2007025258A3 true WO2007025258A3 (en) 2008-11-20

Family

ID=37772508

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/US2006/033580 WO2007025258A2 (en) 2005-08-25 2006-08-25 Methods and systems for biometric identification

Country Status (2)

Country Link
US (2) US7751598B2 (en)
WO (1) WO2007025258A2 (en)

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US20070047772A1 (en) 2007-03-01
WO2007025258A2 (en) 2007-03-01
US20100266165A1 (en) 2010-10-21
US7751598B2 (en) 2010-07-06

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