Comparing Haar-Hilbert and Log-Gabor Based Iris Encoders on Bath Iris Image Database

摘要

This papers introduces a new family of iris encoders which use 2-dimensionalHaar Wavelet Transform for noise attenuation, and Hilbert Transform to encodethe iris texture. In order to prove the usefulness of the newly proposed irisencoding approach, the recognition results obtained by using these new encodersare compared to those obtained using the classical Log- Gabor iris encoder.Twelve tests involving single/multienrollment and conducted on Bath Iris ImageDatabase are presented here. One of these tests achieves an Equal Error Ratecomparable to the lowest value reported so far for this database. New Matlabtools for iris image processing are also released together with this paper: asecond version of the Circular Fuzzy Iris Segmentator (CFIS2), a fast Log-Gaborencoder and two Haar-Hilbert based encoders.