Transforming traditional iris recognition systems to work on non-ideal situations

2009 IEEE Workshop on Computational Intelligence in Biometrics: Theory, Algorithms, and Applications, CIB 2009 - Proceedings

Volumn , Issue , 2009, Pages 1-8

  Zhou, Zhi ^a   Du, Yingzi ^a   Belcher, Craig ^a  

^a Indiana University Purdue University Indianapolis   (United States)

Author keywords

Iris quality evaluation; Iris recognition system; Iris segmentation evaluation; Non ideal iris recognition

Indexed keywords

BAD QUALITY; CORE PART; HIGHLY-CORRELATED; INFORMATION DISTANCE; IRIS IMAGES; IRIS QUALITY EVALUATION; IRIS RECOGNITION SYSTEM; IRIS RECOGNITION SYSTEMS; IRIS SEGMENTATION EVALUATION; NON-IDEAL IRIS RECOGNITION; QUALITY MEASURES; RECOGNITION ACCURACY; RECOGNITION PERFORMANCE; RESEARCH RESULTS; SEGMENTATION ACCURACY; SEGMENTATION EVALUATION; SOFTWARE MODULES; TRADITIONAL SYSTEMS; VIDEO IMAGE;

ARTIFICIAL INTELLIGENCE; BIOMETRICS; BUFFER STORAGE; ELECTRIC GROUNDING; IMAGE QUALITY; LAWS AND LEGISLATION;

QUALITY CONTROL;

EID: 67650389193     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CIB.2009.4925679     Document Type: Conference Paper

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