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Secure Iris Recognition Based on Local Intensity Variations

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Image Analysis and Recognition (ICIAR 2010)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 6112))

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Abstract

In this paper we propose a fast and efficient iris recognition algorithm which makes use of local intensity variations in iris textures. The presented system provides fully revocable biometric templates suppressing any loss of recognition performance.

This work has been supported by the Austrian Science Fund, project no. L554-N15.

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Author information

Authors and Affiliations

  1. Department of Computer Sciences, University of Salzburg, A-5020, Salzburg, Austria

    Christian Rathgeb & Andreas Uhl

Authors
  1. Christian Rathgeb
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  2. Andreas Uhl
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Editor information

Editors and Affiliations

  1. Faculty of Engineering, Institute of Biomedical Engineering, University of Porto, Rua Dr. Roberto Frias, 4200-465, Porto, Portugal

    Aurélio Campilho

  2. Department of Electrical and Computer Engineering, University of Waterloo, N2L 3G1, Waterloo, Ontario, Canada

    Mohamed Kamel

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Rathgeb, C., Uhl, A. (2010). Secure Iris Recognition Based on Local Intensity Variations. In: Campilho, A., Kamel, M. (eds) Image Analysis and Recognition. ICIAR 2010. Lecture Notes in Computer Science, vol 6112. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13775-4_27

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  • DOI: https://doi.org/10.1007/978-3-642-13775-4_27

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-13774-7

  • Online ISBN: 978-3-642-13775-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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