Efficient iris recognition by characterizing key local variations

IEEE Transactions on Image Processing

Volumn 13, Issue 6, 2004, Pages 739-750

  Ma, Li ^a   Tan, Tieniu ^a   Wang, Yunhong ^a   Zhang, Dexin ^a  

^a INSTITUTE OF AUTOMATION   (China)

Author keywords

Biometrics; Iris recognition; Local sharp variations; Personal identification; Transient signal analysis; Wavelet transform

Indexed keywords

ALGORITHMS; FACE RECOGNITION; IMAGE PROCESSING; WAVELET TRANSFORMS;

BIOMETRICS; IRIS RECOGNITION;

PATTERN RECOGNITION;

ALGORITHM; ANTHROPOMETRY; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; CLUSTER ANALYSIS; COMPARATIVE STUDY; COMPUTER ASSISTED DIAGNOSIS; COMPUTER GRAPHICS; COMPUTER SIMULATION; EVALUATION; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; INFORMATION RETRIEVAL; IRIS; MATHEMATICAL COMPUTING; METHODOLOGY; ORGANIZATION AND MANAGEMENT; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING; STATISTICAL MODEL; VALIDATION STUDY;

ALGORITHMS; ANTHROPOMETRY; ARTIFICIAL INTELLIGENCE; CLUSTER ANALYSIS; COMPUTER GRAPHICS; COMPUTER SIMULATION; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; INFORMATION STORAGE AND RETRIEVAL; IRIS; MODELS, BIOLOGICAL; MODELS, STATISTICAL; NUMERICAL ANALYSIS, COMPUTER-ASSISTED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SECURITY MEASURES; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 2942628075     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2004.827237     Document Type: Article

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