Improvement of Fingerprint Retrieval by a Statistical Classifier

@article{Leung2011ImprovementOF,
  title={Improvement of Fingerprint Retrieval by a Statistical Classifier},
  author={Ka-Chung Leung and Cheung Hoi Leung},
  journal={IEEE Transactions on Information Forensics and Security},
  year={2011},
  volume={6},
  pages={59-69}
}
The topics of fingerprint classification, indexing, and retrieval have been studied extensively in the past decades. One problem faced by researchers is that in all publicly available fingerprint databases, only a few fingerprint samples from each individual are available for training and testing, making it inappropriate to use sophisticated statistical methods for recognition. Hence most of the previous works resorted to simple k-nearest neighbor (k-NN) classification. However, the k-NN… CONTINUE READING
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