Matching Method as Pre-processing for Online Signature Verification Using Dynamical Tuning Parameters

Abstract

Along the development of computer networks, the necessity of authenticating a person by biometrics is increasing. In this paper, we propose a method for matching of two online signatures. For online signature verification problems, it is necessary to assume that only one or very small number of real signatures can be used because of the property of the problem. We apply DP (Dynamic Programming) matching, where one signature is to be scaled and shifted by time-variant model. We propose a method to apply DP matching and the parameter estimation scheme interchangeably. Experiments using real data validate this method.