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. © 2012 IEEE.

Maiorana, E., Campisi, P., Rocca, D.L., & Scarano, G. (2012). Use of polynomial classifiers for on-line signature recognition. In 2012 IEEE 5th International Conference on Biometrics: Theory, Applications and Systems, BTAS 2012 (pp.265-270) [10.1109/BTAS.2012.6374587].

Use of polynomial classifiers for on-line signature recognition

MAIORANA, EMANUELE;CAMPISI, PATRIZIO;SCARANO, Gaetano
2012

Abstract

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. © 2012 IEEE.
9781467313841
9781467313841
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11590/309371
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