Improved segmentation and segment association for on-line signature verification

Segmentation is a process that partitions a signature into different segments. This enables local characteristics pertinent to the signature to be extracted and subsequently compared. There are many variations in the choice of the segmentation technique depending on the underlying verification strategy. Immunity to intra-signer variations poses the greatest challenge to most techniques employed. This paper proposes a novel segmentation technique that chooses to segment signatures at relatively non-complex shape sections. Through the process of association, segments of an instance are matched with those of another instance to yield corresponding segments for local comparisons. An important aspect of the method is the reduction in sensitivity to intra-personal variations. Experimental results are presented to demonstrate the effectiveness of this approach to the segmentation of signatures