%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