The associatie memory feature of the Hopfield type recurrent neural network
is used for the pattern storage and pattern authentication.This paper outlines
an optimization relaxation approach for signature verification based on the
Hopfield neural network (HNN)which is a recurrent network.The standard sample
signature of the customer is cross matched with the one supplied on the
Cheque.The difference percentage is obtained by calculating the different
pixels in both the images.The network topology is built so that each pixel in
the difference image is a neuron in the network.Each neuron is c