@article{(Open Science Index):https://publications.waset.org/pdf/12492,
	  title     = {A New Approach for the Fingerprint Classification Based On Gray-Level Co- Occurrence Matrix},
	  author    = {Mehran Yazdi and  Kazem Gheysari},
	  country	= {},
	  institution	= {},
	  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.
},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {2},
	  number    = {11},
	  year      = {2008},
	  pages     = {3689 - 3692},
	  ee        = {https://publications.waset.org/pdf/12492},
	  url   	= {https://publications.waset.org/vol/23},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 23, 2008},
	}