Fake Iris Detection by Using Purkinje Image
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%.
Unable to display preview. Download preview PDF.
- 1.Daugman, J.G.: High confidence visual recognition of personals by a test of statistical independence. IEEE Trans. PAMI 15(11), 1148–1160 (1993)Google Scholar
- 2.Gullstrand, A.: Helmholz’s physiological optics. Optical Society of America, App., 350–358 (1924)Google Scholar
- 3.http://www.iris-recognition.org, accessed on 2005.6.1
- 4.Daugman, J.: Recognizing persons by their iris patterns, http://www.cse.msu.edu/~cse891/
- 5.Körding, K.P., Kayser, C., Betsch, B.Y., König, P.: Non-contact eye-tracking on cats. Journal of Neuroscience Methods (June 2001)Google Scholar
- 6.http://www.heise.de/ct/english/02/11/114/, accessed on 2005.6.1
- 7.Daugman, J.: How Iris Recognotion Works. IEEE Transactions on Circuit and Systems For Video Technology 14(1) (January 2004)Google Scholar
- 8.Gonzalez, R.C., et al.: Digital Image Processing, 2nd edn. Prentice Hall, Englewood CliffsGoogle Scholar
- 9.http://www.logitech.com, accessed on 2005.8.18