%0 Journal Article
	%A Mehran Yazdi and  Kazem Gheysari
	%D 2008
	%J International Journal of Computer and Information Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 23, 2008
	%T A New Approach for the Fingerprint Classification Based On Gray-Level Co- Occurrence Matrix
	%U https://publications.waset.org/pdf/12492
	%V 23
	%X In this paper, we propose an approach for the classification of fingerprint databases. It is based on the fact that a fingerprint image is composed of regular texture regions that can be successfully represented by co-occurrence matrices. So, we first extract the features based on certain characteristics of the cooccurrence matrix and then we use these features to train a neural network for classifying fingerprints into four common classes. The obtained results compared with the existing approaches demonstrate the superior performance of our proposed approach.

	%P 3689 - 3692