@inproceedings{7ab4b8455ad14a708b99595c731ce211,
title = "Fake iris detection by using purkinje image",
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\%.",
author = "Lee, \{Eui Chul\} and Park, \{Kang Ryoung\} and Jaihie Kim",
year = "2006",
doi = "10.1007/11608288\_53",
language = "English",
isbn = "3540745483",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "397--403",
booktitle = "Advances in Biometrics - International Conference, ICB 2006, Proceedings",
address = "Germany",
note = "2006 International Conference on Biometrics, ICB 2006 ; Conference date: 05-01-2006 Through 07-01-2006",
}