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Cancelable Iris Biometrics Using Block Re-mapping and Image Warping

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Information Security (ISC 2009)

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 5735))

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Abstract

The concept of cancelable biometrics provides a way to protect biometric templates. A possible technique to achieve such protection for iris images is to apply a repeatable, non-reversible transformation in the image domain prior to feature extraction. We applied two classical transformations, block re-mapping and texture warping, to iris textures obtained from the CASIA V3 Iris database and collected experimental results on the matching performance and key sensitivity of a popular iris recognition method.

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

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References

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Author information

Authors and Affiliations

  1. Department of Computer Sciences, Salzburg University, Austria

    Jutta Hämmerle-Uhl, Elias Pschernig & Andreas Uhl

Authors
  1. Jutta Hämmerle-Uhl
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  2. Elias Pschernig
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  3. Andreas Uhl
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Editor information

Editors and Affiliations

  1. Dipartimento di Tecnologie dell’ Informazione, Università degli Studi di Milano, Via Bramante 65, 26013, Crema, (CR), Italy

    Pierangela Samarati

  2. Computer Science Department, Google Inc. and Columbia University, Room 464, S.W. Mudd Building, 10027, New York, NY, USA

    Moti Yung

  3. Information Security Group, Pisa Research Area, Istituto di Informatica e Telematica - IIT Consiglio Nazionale delle Ricerche - C.N.R., Via. G. Moruzzi 1, 56125, Pisa, Italy

    Fabio Martinelli

  4. Dipartimento di Tecnologie dell’Informazione, Università degli Studi di Milano, Via Bramante, 65, 26013, Crema, (CR), Italy

    Claudio A. Ardagna

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© 2009 Springer-Verlag Berlin Heidelberg

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Hämmerle-Uhl, J., Pschernig, E., Uhl, A. (2009). Cancelable Iris Biometrics Using Block Re-mapping and Image Warping. In: Samarati, P., Yung, M., Martinelli, F., Ardagna, C.A. (eds) Information Security. ISC 2009. Lecture Notes in Computer Science, vol 5735. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04474-8_11

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  • DOI: https://doi.org/10.1007/978-3-642-04474-8_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04473-1

  • Online ISBN: 978-3-642-04474-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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