P. N. Ganorkar, Kalyani Pendke, Hemant Turkar
Abstract: In the era of growing technology, security is the major concern to avoid fakes and forgeries. There are various biometric technique which help in personal identification, among those verification systems, one system is Signature Verification System, Signature is a behavioral biometric.It is not based on figure print, retina or any facial expression, according to the data available in the input, signature verification split into two part: Online and Offline. It also referred as static and dynamic. Signature verification also used to provide authentication to user. The main advantages of signature verification are that it used for e-business which helps in banking applications. The proposed paper present slope based method to identify the signature using various parameters like speed, time, pressure, movement of signature, accuracy and matching percentage of two signature etc.
Keywords: Segmentation, Hidden Marko Method, Support Vector Machine Relative slope algorithm, signature verification, Gaussian elimination algorithm