文章基本信息

标题：A Survey: Feature Extraction Methods for Iris Recognition
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作者：Dolly Choudhary ; Shamik Tiwari ; Ajay Kumar Singh 等
期刊名称：International Journal of Electronics Communication and Computer Technology
印刷版ISSN：2249-7838
出版年度：2012
卷号：2
期号：6
页码：275-279
出版社：International Journal of Electronics Communication and Computer Technology
摘要：The biometrics is the study of physical traits or behavioral characteristics of human include items such as finger prints, face, hand geometry, gait, keystrokes, voice and iris. Among the biometrics, iris has highly accurate and reliable characteristics. An iris has unique structure and it remains stable over a person life time. Iris recognition is one of the biometric identification and authentication that employs pattern recognition technology with the help of high resolution. A general approach of iris recognition system includes image acquisition, segmentation, feature Extraction, matching/classification. The performance of biometric system based on iris recognition depends on the selection of iris features. In this work performance of various feature extraction methods are analyzed for iris recognition
关键词：Hough Transform; Iris Normalization; Pattern ;Matching; Feature Extraction.