Neural Networks for Fingerprint Recognition

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.

# Biometric Identification and Security # Computer Science # Handwritten Text Recognition Techniques # Gait Recognition and Analysis # Engineering

Pierre Baldi, Yves Chauvin (1993). "Neural Networks for Fingerprint Recognition". Neural Computation. https://doi.org/10.1162/neco.1993.5.3.402