An Improvement Method for Daugman's Iris Localization Algorithm

被引：0

作者：

Peng, Zhi-Yong ^{[1
]}

Li, Hong-Zhou ^{[1
]}

Liu, Jian-Ming ^{[1
]}

机构：

[1] Guilin Univ Elect Technol, Guilin 541004, Guangxi, Peoples R China

来源：

ADVANCES IN NEURAL NETWORKS - ISNN 2011, PT II | 2011年 / 6676卷

关键词：

iris; localization; inner boundary; outer boundary; FACE-RECOGNITION;

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：

An improvement method is present in this paper for Daugman's iris localization algorithm. It may make iris localization more rapid and more precise. It may also decrease the computational complexity of the localization algorithm by reducing the search area for the iris boundary center and the radius, In addition, a new method excluding the upper and lower eyelids is proposed. Experiments indicate that the present method have better performance.

引用

页码：364 / 372

页数：9

共 23 条

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