Quality of online signature templates

This paper proposes a metric to measure the quality of an online signature template derived from a set of enrolled signature samples in terms of its distinctiveness against random signatures. Particularly, the proposed quality score is computed based on statistical analysis of histogram features that are used as part of an online signature representation. Experiments performed on three datasets consistently confirm the effectiveness of the proposed metric as an indication of false acceptance rate against random forgeries when the system is operated at a particular decision threshold. Finally, the use of the proposed quality metric to enforce a minimum signature strength policy in order to enhance security and reliability of the system against random forgeries is demonstrated.