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Fingerprint Registration Using Zernike Moments : An Approach for a Supervised Contactless Biometric System
Tahirou DJARA, Marc Kokou ASSOGBA, Amine NAIT-ALI, Antoine VIANOU
Pages - 254 - 271     |    Revised - 31-08-2015     |    Published - 30-09-2015
Volume - 9   Issue - 5    |    Publication Date - September / October 2015  Table of Contents
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KEYWORDS
Contactless Biometry, Fingerprint, Zernike Moments, Image Registration.
ABSTRACT
In this work, we deal with contactless fingerprint biometrics. More specifically, we are interested in solving the problem of registration by taking into consideration some constraints such as finger rotation and translation. In the proposed method, the registration requires: (1) a segmentation technique to extract streaks, (2) a skeletonization technique to extract the center line streaks and (3) and landmarks extraction technique. The correspondence between the sets of control points, is obtained by calculating the descriptor vector of Zernike moments on a window of size RxR centered at each point. Comparison of correlation coefficients between the descriptor vectors of Zernike moments helps define the corresponding points. The estimation of parameters of the existing deformation between images is performed using RANSAC algorithm (Random SAmple Consensus) that suppresses wrong matches. Finally, performance evaluation is achieved on a set of fingerprint images where promising results are reported.
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Dr. Tahirou DJARA
Ecole Polytechnique d'Abomey-Calavi(EPAC) - Benin
csm.djara@gmail.com
Associate Professor Marc Kokou ASSOGBA
Ecole Polytechnique d'Abomey-Calavi(EPAC) - Benin
Professor Amine NAIT-ALI
Université Paris Est-Créteil - France
Professor Antoine VIANOU
Ecole Polytechnique d'Abomey-Calavi(EPAC) - Benin