Quality Analysis of Dynamic Signature Based on the Sigma-Lognormal Model

An analysis of the quality of on-line handwritten signatures is carried out based on the Sigma-Lognormal model. In the study, two main issues are addressed from a kinematic perspective of humanly-produced movements. On the one hand, what makes some signatures perform better than others in automatic signature verification systems, and on the other hand if that information may be used as a quality measure in order to predict the expected performance of a given sample. Experiments were carried out on the MCYT database and show the high potential of certain kinematic features for signature quality assessment.