Signature Verification using a "Siamese" Time Delay Neural Network¶
Authors: Jane Bromley, Isabelle Guyon, Yann LeCun, Eduard Säckinger, Roopak Shah
Published: 1993 (Conference Paper)
Source: Advances in Neural Information Processing Systems
Summary¶
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 accepted, all other signatures are rejected as forgeries.