On a methodology for robust segmentation of nonideal iris images

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

Volumn 40, Issue 3, 2010, Pages 703-718

  Zuo, Jinyu ^a   Schmid, Natalia A ^a  

^a West Virginia University   (United States)

Author keywords

Biometrics; Iris recognition; Iris segmentation; Texture segmentation

Indexed keywords

CHINESE ACADEMY OF SCIENCES; DATA SETS; IRIS BIOMETRICS; IRIS DATA; IRIS IMAGES; IRIS PATTERNS; IRIS RECOGNITION; IRIS SEGMENTATION; NON-IDEALITIES; NONIDEAL; OFF-ANGLE; ROBUST SEGMENTATION; SEGMENTATION PERFORMANCE; SPECULAR REFLECTIONS; TEXTURE SEGMENTATION; WEST VIRGINIA UNIVERSITIES;

ALGORITHMS; BIOMETRICS; IMAGE SEGMENTATION; TEXTURES;

DATA PROCESSING;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BIOMETRY; COMPUTER ASSISTED DIAGNOSIS; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; IRIS; METHODOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BIOMETRY; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IRIS; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

EID: 77952584252     PISSN: 10834419     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSMCB.2009.2015426     Document Type: Article

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