IRIS FEATURES EXTRACTION USING WAVELET PACKETS (MP-P3)

Author(s) : Erik Rydgren (Institut Supérieur d'Electronique de Paris, ISEP, France) Thomas Ea (Institut Supérieur d'Electronique de Paris, ISEP, France) Frédéric Amiel (Institut Supérieur d'Electronique de Paris, ISEP, France) Florence Rossant (Institut Supérieur d'Electronique de Paris, ISEP, France) Amara Amara (Institut Supérieur d'Electronique de Paris, ISEP, France)

Abstract : This article presents an application of wavelet packet analysis to the features extraction part of an iris recognition system. An energy measure is used to identify the particular packets that carries discriminating information about the iris texture. Several different orthogonal wavelets are tested and a comparison to non-orthogonal analysis using Gabor wavelets is done. The experimental results show 100% correct classifications when applying the algorithm on an iris image database and the new algorithm is therefore an interesting alternative to Gabor based methods.

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