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Bromley, Jane M.; Guyon, Isabelle; LeCun, Yann; Sackinger, Eduard and Shah, Roopak
(1994).
URL: http://books.nips.cc/papers/files/nips06/0737.pdf
Abstract
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 outputs. During training the two sub-networks extract features from two signatures, while the joining neuron measures the distance between the two feature vectors. Verification consists of comparing an extracted feature vector with a stored feature vector for the signer. Signatures closer to this stored representation than a chosen threshold are excepted, all other signatures are rejected as forgeries.