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Specific Texture Analysis for Iris Recognition

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

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

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Abstract

In this paper, we present a new method for iris recognition based on specific texture analysis. It relies on the use of Haar wavelet analysis to extract the texture of the iris tissue. The matching is done using a specific correlation based on local peaks detection. Experiments have been conducted on the CASIA database in verification mode and show an EER of 0.07%. Degraded version of the CASIA database results in an EER of 2.3%, which is lower than result obtained by the classical wavelet demodulation (WD) method in that database.

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© 2005 Springer-Verlag Berlin Heidelberg

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Krichen, E., Allano, L., Garcia-Salicetti, S., Dorizzi, B. (2005). Specific Texture Analysis for Iris Recognition. 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_3

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  • DOI: https://doi.org/10.1007/11527923_3

  • 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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