Signature verification using a Siamese time delay neural network

Bromley, Jane M.; Guyon, Isabelle; LeCun, Yann; Sackinger, Eduard and Shah, Roopak (1994). Signature verification using a Siamese time delay neural network. In: 7th Annual Neural Information Processing Systems Conference, 29 Nov - 02 Dec 1993, Denver, Morgan Kaufmann Publishers, pp. 737–744.



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.

Viewing alternatives

Item Actions