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Practical Biometric Authentication with Template Protection

  • Conference paper
Audio- and Video-Based Biometric Person Authentication (AVBPA 2005)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 3546))

Abstract

In this paper we show the feasibility of template protecting biometric authentication systems. In particular, we apply template protection schemes to fingerprint data. Therefore we first make a fixed length representation of the fingerprint data by applying Gabor filtering. Next we introduce the reliable components scheme. In order to make a binary representation of the fingerprint images we extract and then quantize during the enrollment phase the reliable components with the highest signal to noise ratio. Finally, error correction coding is applied to the binary representation. It is shown that the scheme achieves an EER of approximately 4.2% with secret length of 40 bits in experiments.

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Author information

Authors and Affiliations

  1. Philips Research Laboratories, Prof. Holstlaan 4, 5656 AA, Eindhoven, The Netherlands

    Pim Tuyls, Anton H. M. Akkermans, Tom A. M. Kevenaar & Geert-Jan Schrijen

  2. University of Twente EEMCS SAS, P.O. box 217, 7500 AE, Enschede, The Netherlands

    Asker M. Bazen & Raimond N. J. Veldhuis

Authors
  1. Pim Tuyls
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  2. Anton H. M. Akkermans
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  3. Tom A. M. Kevenaar
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  4. Geert-Jan Schrijen
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  5. Asker M. Bazen
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  6. Raimond N. J. Veldhuis
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Editor information

Editors and Affiliations

  1. The Robotics Institute, Carnegie Mellon University., Pittsburgh, 15213-3890, Pennsylvania, USA

    Takeo Kanade

  2. Withington Hospital, Nightingale Centre, Manchester, UK

    Anil Jain

  3. IBM Thomas J. Watson Research Center, 19 Skyline Drive, NY 10598, Hawthorne, USA

    Nalini K. Ratha

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© 2005 Springer-Verlag Berlin Heidelberg

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Tuyls, P., Akkermans, A.H.M., Kevenaar, T.A.M., Schrijen, GJ., Bazen, A.M., Veldhuis, R.N.J. (2005). Practical Biometric Authentication with Template Protection. In: Kanade, T., Jain, A., Ratha, N.K. (eds) Audio- and Video-Based Biometric Person Authentication. AVBPA 2005. Lecture Notes in Computer Science, vol 3546. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11527923_45

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  • DOI: https://doi.org/10.1007/11527923_45

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-27887-0

  • Online ISBN: 978-3-540-31638-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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