Fake iris detection by using purkinje image

Authors:
Eui Chul Lee;Kang Ryoung Park;Jaihie Kim
Affiliations:
Dept. of Computer Science, Biometrics Engineering Research Center (BERC), Sangmyung University, Seoul, Republic of Korea;Division of Media Technology, Biometrics Engineering Research Center (BERC), Sangmyung University, Seoul, Republic of Korea;Department of Electrical and Electronic Engineering, Biometrics Engineering Research Center (BERC), Yonsei University, Seoul, Republic of Korea
Venue:
ICB'06 Proceedings of the 2006 international conference on Advances in Biometrics
Year:
2006

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Abstract

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%.