288 pp. per issue
6 x 9, illustrated
2014 Impact factor:

Neural Computation

May 1993, Vol. 5, No. 3, Pages 402-418
(doi: 10.1162/neco.1993.5.3.402)
© 1993 Massachusetts Institute of Technology
Neural Networks for Fingerprint Recognition
Article PDF (1.66 MB)

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.