Improving iris recognition performance using segmentation, quality enhancement, match score fusion, and indexing

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

Volumn 38, Issue 4, 2008, Pages 1021-1035

  Vatsa, Mayank ^a   Singh, Richa ^a   Noore, Afzel ^a  

^a West Virginia University   (United States)

Author keywords

Information fusion; Iris indexing; Iris recognition; Mumford Shah curve evolution; Quality enhancement; Support vector machine (SVM)

Indexed keywords

ALGORITHMS; BIOMETRICS; COMMUNICATION CHANNELS (INFORMATION THEORY); FUSION REACTIONS; IMAGE ENHANCEMENT; INDEXING (OF INFORMATION); LEARNING ALGORITHMS; LEARNING SYSTEMS; MATHEMATICAL PROGRAMMING; NUCLEAR PHYSICS; QUALITY CONTROL; REINFORCEMENT; REINFORCEMENT LEARNING; SYSTEMS ENGINEERING; TOPOLOGY;

CURVE EVOLUTION; DISTINCT FEATURES; ENHANCEMENT ALGORITHMS; EULER NUMBERS; FALSE REJECTION RATE; FUSION ALGORITHMS; GABOR TRANSFORMS; HIGH-QUALITY; IDENTIFICATION PERFORMANCE; INFORMATION FUSION; IRIS DATABASES; IRIS IDENTIFICATION; IRIS IMAGES; IRIS INDEXING; IRIS RECOGNITION; MATCH SCORE; MUMFORD-SHAH CURVE EVOLUTION; MUMFORD-SHAH FUNCTIONAL; NONIDEAL; QUALITY ENHANCEMENT; SUPPORT VECTOR MACHINE (SVM); TEXTURAL FEATURES; TOPOLOGICAL FEATURES;

IMAGE MATCHING;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BIOMETRY; COMPUTER ASSISTED DIAGNOSIS; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; IRIS; METHODOLOGY; PHOTOGRAPHY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BIOMETRY; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IRIS; PATTERN RECOGNITION, AUTOMATED; PHOTOGRAPHY; SUBTRACTION TECHNIQUE;

EID: 49149104526     PISSN: 10834419     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSMCB.2008.922059     Document Type: Article

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