Writer-Independent Offline Signature Verification Using Deep Learning

Abstract

Abstract: The signature of humans is an important feature in the field of biometrics. It is used as an authentication tool especially in the banking sector because all humans have a distinct signature and each signature has its features. So human signature is used to recognize a person. There has been a fair amount of work done in the field of handwritten signature verification but still, the problem is unsolved. The main intent of signature verification is to distinguish whether the signature is genuine or forged. The signature verification can be offline or online. This is a tedious task, principally in the case of offline because the dynamic information of the signature is not available. A brief survey of various offline signature authentication methods and recent advancements in the field has been represented in this paper. Keywords: Feature extraction, Neural Network, Offline Signature verification, Preprocessing, Writer-independent.