An application of fuzzy logic and neural network to fingerprint recognition

Authors:
Ching-Tang Hsieh;Chia-Shing Hu
Affiliations:
Department of Electrical Engineering, Tamkang University, Taipei County, Taiwan, Republic of China;Department of Electrical Engineering, Tamkang University, Taipei County, Taiwan, Republic of China
Venue:
ICAI'05/MCBC'05/AMTA'05/MCBE'05 Proceedings of the 6th WSEAS international conference on Automation & information, and 6th WSEAS international conference on mathematics and computers in biology and chemistry, and 6th WSEAS international conference on acoustics and music: theory and applications, and 6th WSEAS international conference on Mathematics and computers in business and economics
Year:
2005

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Abstract

Because fingerprint patterns are fuzzy in nature and ridge endings are changed easily by scares, we try to only use ridge bifurcation as fingerprints minutiae and also design a fuzzy feature image encoder by using cone membership function to represent the structure of ridge bifurcation features extracted from fingerprint. Then, we integrate the fuzzy encoder with back-propagation neural network (BPNN) as a recognizer which has variable fault tolerances for fingerprint recognition. Experimental results show that the proposed fingerprint recognition system is robust, reliable and rapid.