Iris Image Classification Based on Color Information

被引：0

作者：

Zhang, Hui ^{[1
,2
]}

Sun, Zhenan ^{[2
]}

Tan, Tieniu ^{[2
]}

Wang, Jianyu ^{[1
]}

机构：

[1] Chinese Acad Sci, Shanghai Inst Tech Phys, Beijing 100864, Peoples R China

[2] Chinese Acad Sci, Inst Automat, NLPR, Beijing 100864, Peoples R China

来源：

2012 21ST INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR 2012) | 2012年

关键词：

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：

Iris recognition systems using iris images captured in visible light have several advantages compared to using near infrared (NIR) images, and draw attention from biometrics researchers. The acquisition of color iris image does not ask for special cameras, and reserves the color information of iris. The color information can be used as an important clue for iris classification which improves performance of iris recognition on non-ideal iris images. In this paper, we propose a novel color feature for iris classification, named as iris color Texton using RGB, HSI and 1 alpha beta color spaces. Extensive experiments are performed on three databases. The proposed iris color Texton shows advantages in iris image classification based on color information.

引用

页码：3427 / 3430

页数：4