Performance Evaluation of the Automatic Fingerprint Recognition System

Journal: GRENZE International Journal of Computer Theory and Engineering
Authors: Shabir Ahmad Sofi, Sabah Bashir, Haseeb Asif, Roohie Naaz
Volume: 2 Issue: 2
Grenze ID: 01.GIJCTE.2.2.23 Pages: 1-6

Abstract

The biometric characteristics that are used in the authentication system are unique for each person. The major advantage of the biometrics is that you have always with your way to authenticate yourself. Furthermore biometrics make it possible to know who is authenticated and where. Fingerprint is taken as proffered technique for the biometric authentication because of the public acceptability, ease of use, economy of scale, easy installation and availability. There are two approaches to fingerprint recognition minutia base and image based but in this paper we limit to the minutia based recognition. In this paper we evaluate the minutia as per three stage approach and given the performance evaluation especially for the false minutia and the fingerprint classifiers. The estimation of the previously used scheme and the new scheme is analysed and the results were appreciating.

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