Fake Iris Detection by Using Purkinje Image

  • Eui Chul Lee
  • Kang Ryoung Park
  • Jaihie Kim
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3832)


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%.


Iris Image False Acceptance Rate False Rejection Rate Iris Recognition Pupil Area 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Eui Chul Lee
    • 1
  • Kang Ryoung Park
    • 2
  • Jaihie Kim
    • 3
  1. 1.Dept. of Computer Science, Biometrics Engineering Research Center (BERC)Sangmyung UniversitySeoulRepublic of Korea
  2. 2.Division of Media Technology, Biometrics Engineering Research Center (BERC)Sangmyung UniversitySeoulRepublic of Korea
  3. 3.Department of Electrical and Electronic Engineering, Biometrics Engineering Research Center (BERC)Yonsei UniversitySeoulRepublic of Korea

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