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Journal of Computer Engineering & Information TechnologyISSN : 2324-9307

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Research Article, J Comput Eng Inf Technol Vol: 2 Issue: 1

Comparison of Neuro-fuzzy Networks for Classification Fingerprint Images

O. Assas1,2*, A. Aijimi2, I. Boudrah2, M. Bouamar3 and K. Benmahammed4
1Department of Electronics, University of Batna, Algeria
2Department of Computer Science, University of M’sila, Algeria
3Department of Electronics, University of M’sila, Algeria
4Department of Computer Engineering, Minnesota University, Duluth, MN, USA
Corresponding author : Assas Ouarda
Department of Computer Science, University of M’sila, M’sila, Algeria
Tel: +213794732238
E-mail: [email protected]
Received: January 01, 2013 Accepted: March 20, 2013 Published: March 28, 2013
Citation: Assas O, Aijimi A, Boudrah I, Bouamar M, Benmahammed K (2013) Comparison of Neuro-fuzzy Networks for Classification Fingerprint Images. J Comput Eng Inf Technol 2:1. doi:10.4172/2324-9307.1000104

Abstract

Comparison of Neuro-fuzzy Networks for Classification Fingerprint Images

Classification means to assign a given fingerprint to one of the existing classes already recognized in the literature. A search over all the fingerprints in the database takes a long time, so thegoal is to reduce the search time and computational complexity by choosing an appropriate subset of database for search. Classifying a fingerprint images is and will remain a challenging problem in pattern recognition, due to the minimal interclass variability and maximal intra-class variability.

Keywords: Component; Fingerprint; Classification approaches; Feature extraction; Singular points; Fuzzy neural network

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