ONLINE SIGNATURE VERIFICATION FOR PERSONAL AUTHENTICATION BY USING NEURAL NETWORK SVM CLASSIFIER
Department of Electronics and Telecommunication Engineering SVERI's COE Pandharpur, Solapur, Maharashtra, India Abstract The widely biometric used for certification is signature. There are numerous methods widely for the classification of signature as true or false .This paper aims at reviewing different approaches towards sign verification methods. Signature verification has very wide applications in fields of banking for processing of cheques, in monitory transactions etc. Verification, authencity and reliability of Signature is highly important in places such as boarding of aircraft, crossing international borders and performing economical transactions. A handwritten signature is a legally and socially accepted biometric trait for authenticating an individual. Typically, there are 2 types of handwritten signature verification systems: "off line" and "online" systems. In off line system, just an image of the user's signature is acquired without additional attributes, whereas, in online system, a sequence of x y co ordinates of the user's signature, along with associated attributes like time, pressure etc. are also acquired. So, an online verification system usually achieves more accuracy than offline system.