Specific Texture Analysis for Iris Recognition

descriptionPublicationkeyboard_double_arrow_right Part of book or chapter of book , Conference object , Article 01 Jan 2005 English Publisher:Springer Berlin Heidelberg

Authors: Emine Krichen; Lorène Allano; Sonia Garcia-Salicetti; Bernadette Dorizzi;

doi: 10.1007/11527923_3

Specific Texture Analysis for Iris Recognition

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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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