Empirical study of light source selection for palmprint recognition

被引：21

作者：

Guo, Zhenhua ^{[2
]}

Zhang, David ^{[1
]}

Zhang, Lei ^{[1
]}

Zuo, Wangmeng ^{[3
]}

Lu, Guangming ^{[4
]}

机构：

[1] Hong Kong Polytech Univ, Dept Comp, Kowloon, Hong Kong, Peoples R China

[2] Tsinghua Univ, Grad Sch Shenzhen, Shenzhen 518057, Peoples R China

[3] Harbin Inst Technol, Sch Comp Sci & Technol, Harbin 150006, Peoples R China

[4] Harbin Inst Technol, Shenzhen Grad Sch, Shenzhen, Peoples R China

来源：

PATTERN RECOGNITION LETTERS | 2011年 / 32卷 / 02期

关键词：

Biometrics; Palmprint recognition; Illumination; Orientation code; VERIFICATION; IDENTIFICATION; SYSTEM; DESIGN;

D O I：

10.1016/j.patrec.2010.09.026

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Most of the current palmprint recognition systems use an active light to acquire images and the light source is a key component in the system Although white light is the most widely used light source little work has been done on investigating whether it is the best illumination for palmprint recognition This study analyzes the palmprint recognition performance under seven different illuminations including the white light The experimental results on a large database show that white light is not the optimal illumination while yellow or magenta light could achieve higher palmprint recognition accuracy than the white light (C) 2010 Elsevier B V All rights reserved

引用

页码：120 / 126

页数：7

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