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Fake Iris Detection Based on Multiple Wavelet Filters and Hierarchical SVM

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Information Security and Cryptology – ICISC 2006 (ICISC 2006)

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 4296))

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Abstract

With the increasing needs for higher security level, biometric systems have been widely used for many applications. Among biometrics, iris recognition system has been in the limelight for high security applications. Until now, most researches have been focused on iris identification algorithm and iris camera system. However, after the recent report of attacking iris recognition system by fake iris such as printed, photography and contact lens iris has been disclosed, the importance of fake iris detection is much increased.

So, we propose the new method of detecting fake iris. This research has following three advances compared to previous works. First, to detect fake iris, we check both the size change of pupil and the change of iris features in local iris area (near pupil boundary) by visible light. Second, to detect the change of local iris features, we used multiple wavelet filters having Gabor and Daubechies bases. Third, to enhance the detecting accuracy of fake iris, we used a hierarchical SVM (Support Vector Machine) based on extracted wavelet features.

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Author information

Authors and Affiliations

  1. Division of Media Technology, Sangmyung University, 7 Hongji-Dong, Jongro-Gu, Seoul, Korea

    Kang Ryoung Park, Min Cheol Whang, Joa Sang Lim & Yongjoo Cho

  2. Biometrics Engineering Research Center, 134 Sinchon-Dong, Seodaemun-Gu, Seoul, Korea

    Kang Ryoung Park

Authors
  1. Kang Ryoung Park
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  2. Min Cheol Whang
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  3. Joa Sang Lim
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  4. Yongjoo Cho
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Editor information

Editors and Affiliations

  1. Dankook University, San 29, Anseo-dong, Cheonan-shi, 330-714, Chungnam, Korea

    Min Surp Rhee

  2. Department of Information Security, Joongbu University, 101 Daehak-Ro, Chubu-Myeon, Geumsan-Gun,, 312-702, Chungnam, Korea

    Byoungcheon Lee

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© 2006 Springer-Verlag Berlin Heidelberg

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Park, K.R., Whang, M.C., Lim, J.S., Cho, Y. (2006). Fake Iris Detection Based on Multiple Wavelet Filters and Hierarchical SVM. In: Rhee, M.S., Lee, B. (eds) Information Security and Cryptology – ICISC 2006. ICISC 2006. Lecture Notes in Computer Science, vol 4296. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11927587_21

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  • DOI: https://doi.org/10.1007/11927587_21

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-49112-5

  • Online ISBN: 978-3-540-49114-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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