A Multichannel Approach to Fingerprint Classification

@article{Jain1999AMA,
  title={A Multichannel Approach to Fingerprint Classification},
  author={Anil K. Jain and Salil Prabhakar and Lin Hong},
  journal={IEEE Trans. Pattern Anal. Mach. Intell.},
  year={1999},
  volume={21},
  pages={348-359}
}
Fingerprint classification provides an important indexing mechanism in a fingerprint database. An accurate and consistent classification can greatly reduce fingerprint matching time for a large database. We present a fingerprint classification algorithm which is able to achieve an accuracy better than previously reported in the literature. We classify fingerprints into five categories: whorl, right loop, left loop, arch, and tented arch. The algorithm uses a novel representation (FingerCode… CONTINUE READING

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Key Quantitative Results

  • By incorporating a reject option at the classifier, the classification accuracy can be increased to 96 percent for the five-class classification task, and to 97.8 percent for the four-class classification task after a total of 32.5 percent of the images are rejected.

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Citations

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