An efficient method for iris feature extraction based on pulse coupled neural network

被引：0
|
作者：
Zaifeng, Zhang [1 ]
Guangzhu, Xu [1 ]
Yide, Ma [1 ]
机构：
[1] Lanzhou Univ, Sch Informat Sci & Engn, Lanzhou 730000, Peoples R China
来源：
CHINESE JOURNAL OF ELECTRONICS | 2008年 / 17卷 / 02期
关键词：
biometrics; iris recognition; feature extraction; PCNN;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper, an efficient method for iris feature extraction using the Pulse coupled neural network (PCNN) is proposed. In order to segment out those iris features such as crypts, furrows, spots in the iris image, the PCNN network is introduced. And the output pulse image produced by PCNN is chosen as the iris codes. At last the performance of the proposed approach is demonstrated with experiments. Encouraging results demonstrated that the proposed iris features extraction method is able to produce a representation that allows for discriminating a large number of iris patterns.
引用
收藏
页码：293 / 296
页数：4
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