Neural networks for fingerprint recognition

Authors:
Pierre Baldi;Yves Chauvin
Affiliations:
Jet Propulsion Laboratory and Division of Biology, California Institute of Technology, Pasadena, CA 91109 USA;Net-ID, Inc. and Department of Psychology, Stanford University, Stanford, CA 94305 USA
Venue:
Neural Computation
Year:
1993

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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.