A novel iris database indexing method using the iris color

被引：22

作者：

Puhan, N. B. ^{[1
]}

Sudha, N. ^{[1
]}

机构：

[1] Nanyang Technol Univ, Sch Comp Engn, Singapore, Singapore

来源：

ICIEA 2008: 3RD IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS, PROCEEDINGS, VOLS 1-3 | 2008年

关键词：

D O I：

10.1109/ICIEA.2008.4582847

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In a very large iris database, the design of an effective iris indexing method reduces the computational complexity of feature matching process. This paper presents a new iris indexing technique based on the iris color for noisy iris images. The proposed method using the chrominance components achieves high indexing performance in defocused, reflection-contained and eyelid-occluded iris images. The performance measures such as the hit rate and the penetration rate computed on a recently created noisy iris database, namely UBIRIS [6], show the effectiveness of the iris color to index very large iris databases.

引用

下载

页码：1886 / 1891

页数：6

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