Fingerprint classification by a hierarchical classifier

@article{Cao2013FingerprintCB,
  title={Fingerprint classification by a hierarchical classifier},
  author={Kai Cao and L. Pang and J. Liang and J. Tian},
  journal={Pattern Recognit.},
  year={2013},
  volume={46},
  pages={3186-3197}
}
  • Kai Cao, L. Pang, +1 author J. Tian
  • Published 2013
  • Computer Science
  • Pattern Recognit.
  • Fingerprint classification is still a challenging problem due to large intra-class variability, small inter-class variability and the presence of noise. To deal with these difficulties, we propose a regularized orientation diffusion model for fingerprint orientation extraction and a hierarchical classifier for fingerprint classification in this paper. The proposed classification algorithm is composed of five cascading stages. The first stage rapidly distinguishes a majority of Arch by using… CONTINUE READING
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