Open Science Research Excellence
@article{(International Science Index):http://waset.org/publications/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, Electrical, Automation, Control and Information Engineering},  volume    = {2},
  number    = {11},
  year      = {2008},
  pages     = {3689 - 3692},
  ee        = {http://waset.org/publications/12492},
  url       = {http://waset.org/Publications?p=23},
  bibsource = {http://waset.org/Publications},
  issn      = {eISSN:1307-6892},
  publisher = {World Academy of Science, Engineering and Technology},
  index     = {International Science Index 23, 2008},
}