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http://dx.doi.org/10.5391/JKIIS.2004.14.4.468

An Intelligent Iris Recognition System  

Kim, Jae-Min (홍익대학교 전자전기공학부)
Cho, Seong-Won (홍익대학교 전자전기공학)
Kim, Soo-Lin (홍익대학교 전자전기공학부)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.14, no.4, 2004 , pp. 468-472 More about this Journal
Abstract
This paper presents an intelligent iris recognition system which consists of quality check, iris localization, feature extraction, and verification. For the quality check, the local statistics on the pupil boundary is used. Gaussian mixture model is used to segment and localized the iris region. The feature extraction method is based on an optimal waveform simplification. For the verification, we use an intelligent variable threshold.
Keywords
Iris Recognition; Variable Threshold; Waveform Simplification; Feature Extraction;
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