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http://dx.doi.org/10.5391/JKIIS.2008.18.2.169

A Study on Extraction of Irregular Iris Patterns  

Won, Jung-Woo (홍익대학교 전자전기공학부)
Cho, Seong-Won (홍익대학교 전자전기공학부)
Kim, Jae-Min (홍익대학교 전자전기공학부)
Baik, Kang-Chul (㈜바스코리아)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.18, no.2, 2008 , pp. 169-174 More about this Journal
Abstract
Recently, biometric systems are of interest for the reliable security system. Iris recognition technology is one of the biometric system with the highest reliability. Various iris recognition methods have been proposed for automatic personal identification and verification. These methods require accurate iris segmentation for successful processing because the iris is a small part of an acquired image. The iris boundaries have been parametrically modeled and subsequently detected by circles or parabolic arcs. Since the iris boundaries have a wide range of edge contrast and irregular border shapes, the assumption that they can be fit to circles or parabolic arcs is not always valid. In some cases, the shape of a dilated pupil is slightly different from a constricted one. This is especially true when the pupil has an irregular shape. This is why this research is important. This paper addresses how to accurately detect iris boundaries for improved iris recognition, which is robust to noises.
Keywords
Iris Recognition; Irregular; Iris Pattern; Wavelet;
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