Neural Networks for Fingerprint Recognition

Abstract

After collecting a data base of fingerprint images, we design a neural network algorithm for fingerprint recognition. When presented with a pair of fingerprint images, the algorithm outputs an estimate of the probability that the two images originate from the same finger. In one experiment, the neural network is trained using a few hundred pairs of images and its performance is subsequently tested using several thousand pairs of images originated from a subset of the database corresponding to 20 individuals. The error rate currently achieved is less than 0.5%. Additional results, extensions, and possible applications are also briefly discussed.

Cite

Text

Baldi and Chauvin. "Neural Networks for Fingerprint Recognition." Neural Computation, 1993. doi:10.1162/NECO.1993.5.3.402

Markdown

[Baldi and Chauvin. "Neural Networks for Fingerprint Recognition." Neural Computation, 1993.](https://mlanthology.org/neco/1993/baldi1993neco-neural/) doi:10.1162/NECO.1993.5.3.402

BibTeX

@article{baldi1993neco-neural,
  title     = {{Neural Networks for Fingerprint Recognition}},
  author    = {Baldi, Pierre and Chauvin, Yves},
  journal   = {Neural Computation},
  year      = {1993},
  pages     = {402-418},
  doi       = {10.1162/NECO.1993.5.3.402},
  volume    = {5},
  url       = {https://mlanthology.org/neco/1993/baldi1993neco-neural/}
}