TY - GEN
T1 - Fake iris detection by using purkinje image
AU - Lee, Eui Chul
AU - Park, Kang Ryoung
AU - Kim, Jaihie
PY - 2006
Y1 - 2006
N2 - 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%.
AB - 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%.
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M3 - Conference contribution
AN - SCOPUS:33744951822
SN - 3540311114
SN - 9783540311119
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 397
EP - 403
BT - Advances in Biometrics - International Conference, ICB 2006, Proceedings
T2 - International Conference on Biometrics, ICB 2006
Y2 - 5 January 2006 through 7 January 2006
ER -