Efficient iris recognition system

被引：0
|
作者：
Huang, YP [1 ]
Luo, SW [1 ]
Chen, EY [1 ]
机构：
[1] No Jiaotong Univ, Dept Comp Sci, Beijing, Peoples R China
来源：
2002 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-4, PROCEEDINGS | 2002年
关键词：
iris recognition; independent component analysis; competitive learning;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Iris recognition, a relatively new biometric technology, has great advantages, such as variability, stability and security, thus it is the most promising for high security environments. A new iris recognition algorithm is proposed in this paper, which adopts Independent Component Analysis (ICA) to extract iris texture feature and competitive learning mechanism to recognize iris pattern. Experimental results show that the algorithm is efficient and adaptive to environment, e.g. it works well even for blurred iris image, variable illumination, and interference of eyelids and eyelashes.
引用
收藏
页码：450 / 454
页数：5
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