Comparison of iris recognition algorithms

被引：0

作者：

Vatsa, M ^{[1
]}

Singh, R ^{[1
]}

Gupta, P ^{[1
]}

机构：

[1] Indian Inst Technol, Dept CSE, Kanpur, Uttar Pradesh, India

来源：

PROCEEDINGS OF INTERNATIONAL CONFERENCE ON INTELLIGENT SENSING AND INFORMATION PROCESSING | 2004年

关键词：

biometrics; iris recognition; iris code; wavelets;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, we have studied various well known algorithms for iris recognition. Four algorithms due to Avila [5], Li Ma [9], Tisse [13] and Dougman [15] are implemented and compared on the CASIA iris image database. The results show that the Daugman's algorithm gave the highest accuracy of 99.9%.

引用

页码：354 / 358

页数：5

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