Backpropagation and Its Application to Handwritten Signature Verification

A pool of handwritten signatures is used to train a neural net(cid:173) work for the task of deciding whether or not a given signature is a forgery. The network is a feedforward net, with a binary image as input. There is a hidden layer, with a single unit output layer. The weights are adjusted according to the backpropagation algorithm. The signatures are entered into a C software program through the use of a Datacopy Electronic Digitizing Camera.