Static Handwritten Signature Verification Using Convolution Neural Network

Biometrics are very essential tools for the purpose of identification of the person may contain the basic identification like iris and gesture recognition whereas signature verification is also widely used for the purpose of identification. In this paper, we propose a method of offline signature verification in which convolution is applied to address the maximum accuracy and we present how the problem was being handled in the past few decades. The experimented result reveals the efficiency of algorithm. In this paper we have worked on multiple layers so that good accuracy may obtain in terms of originality of the input images.