Use of polynomial classifiers for on-line signature recognition
Emanuele Maiorana, Patrizio Campisi, Daria La Rocca, Gaetano Scarano · 2012
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.