文章基本信息

标题：Efficient Iris Recognition through Improvement of Feature Vector and Classifier
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作者：Lim, Shin-Young ; Lee, Kwan-Yong ; Byeon, Ok-Hwan 等
期刊名称：ETRI Journal
印刷版ISSN：1225-6463
电子版ISSN：2233-7326
出版年度：2001
卷号：23
期号：2
页码：61-61
语种：English
出版社：Electronics and Telecommunications Research Institute
摘要：In this paper, we propose an efficient method for personal identification by analyzing iris patterns that have a high level of stability and distinctiveness. To improve the efficiency and accuracy of the proposed system, we present a new approach to making a feature vector compact and efficient by using wavelet transform, and two straightforward but efficient mechanisms for a competitive learning method such as a weight vector initialization and the winner selection. With all of these novel mechanisms, the experimental results showed that the proposed system could be used for personal identification in an efficient and effective manner.