On-line signature authentication using Zernike moments

Abstract

Zernike moments are image descriptors often used in pattern recognition. They offer rotation invariance. In this paper, we discuss a novel method of signature authentication using Zernike moments. Instead of working on primary features such as image or on-line data, working on the derived kinematic plot is a robust way of authentication. The derived kinematic plot considered in this paper is acceleration plot. Each signature's on-line acceleration information is being weighted by Zernike moment. The shape analysis of the acceleration plot, using only lower order Zernike moments is performed for authentication of on-line signature.