Offline Signature Recognition Using Image Processing Techniques and Back Propagation Neuron Network System

As the technology improves, there are many new innovations which give security frameworks with different methods that used to identify a person. Signature recognition is one of In this paper, offline signature using back propagation neuron network system and image processing techniques has been proposed. Preprocessing can be done involves RGB2Gray conversion, filtering, adjusting, thresholding followed by canny edge detection at last scaling applied reduce time. Processed feature extracted defined number neurons hidden layers. Similarly, data set images undergo preprocessing operation features extracted. Based on layers neuron, better rate obtained. The proposed method shows experimental result more success rate.