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Erschienen in:
2005 | OriginalPaper | Buchkapitel
Fake Iris Detection by Using Purkinje Image
verfasst von : Eui Chul Lee, Kang Ryoung Park, Jaihie Kim
Erschienen in: Advances in Biometrics
Verlag: Springer Berlin Heidelberg
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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%.