Open Science Research Excellence

Kazem Gheysari

Publications

1

Publications

1
12492
A New Approach for the Fingerprint Classification Based On Gray-Level Co- Occurrence Matrix
Abstract:

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.

Keywords:
Biometrics, fingerprint classification, gray level cooccurrence matrix, regular texture representation.