Comparison of Harris Detector and Ridge Bifurcation Points in the Process of Fingerprint Registration using Supervised Contactless Biometric System
Tahirou DJara1, Marc Kokou Assogba2, Amine Nait-Ali3, Antoine Vianou4
1Tahirou DJARA, Laboratoire, Department of Electrotechnique, de Télécommunications d’Informatique Appliquée LETIA, Ecole Polytechnique d’Abomey-Calavi EPAC. Université d’Abomey-Calavi
2Marc Kokou ASSOGBA, Laboratoire, Department of Electrotechnique, de Télécommunications d’Informatique Appliquée LETIA, Ecole Polytechnique d’Abomey-Calavi EPAC Université d’Abomey-Calavi .
3Amine NAÏT-ALI, Laboratoire Images, Signaux et Systèmes Intelligents Université Paris-Est Créteil avenue du Général de Gaulle Créteil.
4Antoine VIANOU, Laboratoire, Department of Electrotechnique, de Télécommunications et d’Informatique Appliquée LETIA Ecole Polytechnique d’Abomey-Calavi EPAC. Université d’ Abomey-Calavi
Manuscript received on 10 May 2013 | Revised Manuscript received on 18 May 2013 | Manuscript Published on 30 May 2013 | PP: 197-202 | Volume-2 Issue-6, May 2013 | Retrieval Number: F0808052613/13©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Most of the matching or verification phases of the contact based fingerprint verification systems utilize minutiae to find the matched pairs from the input and template fingerprints. Unfortunately, due to some non-linear distortions, like excessive pressure and twisting of fingers during enrollment, this process can cause the minutiae features to be distorted from the original. Contact-based fingerprint systems have some drawbacks due to skin elasticity, inconsistent finger placement, contact pressure, small sensing area, environment conditions and sensor noise… In this paper, we present two fingerprint registration algorithms based on Harris Detector and Minutiae matching for a Contactless Biometric system approach. The performances of the algorithms are evaluated using statistical mean and variance. Based on the above measures, the most efficient registration algorithm is pointed out.
Keywords: Contactless Biometrics, Fingerprint, Harris Detector, Ridge Bifurcation, Registration, Variance, Mean.
Scope of the Article: Signal Control System & Processing