Jane Bromley, Isabelle Guyon, Yann LeCun, Eduard Säckinger, Roopak Shah
This paper describes an algorithm for verification of signatures written on a pen-input tablet. The algorithm is based on a novel, artificial neural network, called a "Siamese" neural network. This network consists of two identical sub-networks joined at their out(cid:173) puts. During training the two sub-networks extract features from two signatures, while the joining neuron measures the distance be(cid:173) tween the two feature vectors. Verification consists of comparing an extracted feature vector ~ith a stored feature vector for the signer. Signatures closer to this stored representation than a chosen thresh(cid:173) old are accepted, all other signatures are rejected as forgeries.