Use of polynomial classifiers for on-line signature recognition

In this paper we propose a system exploiting polynomial classifiers, typically employed in identification scenarios, for the case of user verification based on on-line signature. In order to accomplish this task, a novel strategy for generating synthetic classes of signature features is proposed. The proposed system guarantees high verification performance while requiring low complexity and low storage capacity for the employed users´ templates. Experimental tests conducted over the public MCYT database show the effectiveness of the proposed approach.