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GENDER CLASSIFICATION BASED ON ANN WITH USING FINGERPRINT FEATURE VECTORS

Eyüp Burak Ceyhan, Ş. Sağiroğlu, Emre Akyil

2014.3.1Journal of the Faculty of Engineering and Architecture of Gazi University

tlooto Summary

For the first time in the literature, an intelligent model have been identified using all feature vectors of fingerprint with artificial neural network models for determining the relationship between gender and fingerprint.

Abstract

Abstract is not available.

Citation format

CEYHAN, Eyüp Burak; SAĞIROĞLU, Ş.; AKYIL, Emre. GENDER CLASSIFICATION BASED ON ANN WITH USING FINGERPRINT FEATURE VECTORS. Journal of the Faculty of Engineering and Architecture of Gazi University, 2014, 29.