A novel and efficient feature extraction method for iris recognition

被引：59

作者：

Ko, Jong-Gook ^{[1
]}

Gil, Youn-Hee ^{[1
]}

Yoo, Jang-Hee ^{[1
]}

Chung, Kyo-Il ^{[1
]}

机构：

[1] ETRI, Informat Secur Res Div, Taejon, South Korea

来源：

ETRI JOURNAL | 2007年 / 29卷 / 03期

关键词：

biometrics; iris recognition;

D O I：

10.4218/etrij.07.0206.0141

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：

With a growing emphasis on human identification, iris recognition has recently received increasing attention. Iris recognition includes eye imaging, iris segmentation, verification, and so on. In this letter we propose a novel and efficient iris recognition method which employs a cumulafive-sum-based grey change analysis. Experimental results demonstrate that the proposed method can be used for human identification in efficient manner.

引用

页码：399 / 401

页数：3

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