Signature Verification using a "Siamese" Time Delay Neural Network

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.