Study on Image Processing Based Sign Lock Verification System

The signature verification is the behavioral parameter of biometrics and is used to authenticate a person. A typical signature verification system generally consists of four components: data acquisition, pre-processing, feature extraction and verification. Very large percentage of daily financial transactions is generally carried out on the basis of verification of signatures. Therefore signature plays an important role both for authentication and authorization of any legal documents. Many documents, such as forms, contracts, bank checks, and credit card transactions require the signing of a signature. Therefore, it is of upmost importance to be able to recognize signatures accurately, effortlessly, and in a timely manner. In this paper we will describe the different methods by using which we can easily verify the signature of individual user in this paper, the use of One-Class Support Vector Machine (OC-SVM) based on writer-independent parameters, which takes into consideration only genuine signatures and when forgery signatures are lack as counter examples for designing the HSVS (Handwritten Signature Verification System).