HANDWRITTEN SIGNATURE VERIFICATION BY MULTIPLE REFERENCE SETS

This paper presents a new approach for on-line handwritten signature verification, which exploits the potential of multiple reference sets. Preliminarily, system performance is estimated using different sets of reference signatures for each writer. Successively, reference sets leading to diverse system behaviors are enrolled into the personal knowledge-base and used in a multi-stage verification process. The experimental results show the effectiveness of the proposed approach, compared to traditional techniques.