Fake iris detection by using Purkinje image

被引：0
|
作者：
Lee, EC
Park, KR
Kim, JH
机构：
[1] Sangmyung Univ, Dept Comp Sci, Seoul, South Korea
[2] Sangmyung Univ, Div Media Technol, Seoul, South Korea
[3] Yonsei Univ, Dept Elect & Elect Engn, BERC, Seoul, South Korea
来源：
ADVANCES IN BIOMETRICS, PROCEEDINGS | 2006年 / 3832卷
关键词：
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：
Fake iris detection is to detect and defeat a fake (forgery) iris image input. To solve the problems of previous researches on fake iris detection, we propose the new method of detecting fake iris attack based on the Purkinje image. Especially, we Calculated the theoretical positions and distances between the Purkinje images based on the human eye model and the performance of fake detection algorithm could be much enhanced by such information. Experimental results showed that the FAR (False Acceptance Rate for accepting fake iris as live one) was 0.33% and FRR(False Rejection Rate of rejecting live iris as fake one) was 0.33%.
引用
收藏
页码：397 / 403
页数：7
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