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.