Signature Verification using a "Siamese" Time Delay Neural Network

Part of Advances in Neural Information Processing Systems 6 (NIPS 1993)

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Jane Bromley, Isabelle Guyon, Yann LeCun, Eduard S├Ąckinger, 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.