Distinctiveness, complexity, and repeatability of online signature templates
This work addresses the need for better performance indicators in biometric verification systems, though it is incremental in nature.
The paper tackled the problem of quantifying online signature template characteristics by proposing three measures for distinctiveness, complexity, and repeatability, and demonstrated their effectiveness through experiments on multiple datasets.
This paper proposes three measures to quantify the characteristics of online signature templates in terms of distinctiveness, complexity and repeatability. A distinctiveness measure of a signature template is computed from a set of enrolled signature samples and a statistical assumption about random signatures. Secondly, a complexity measure of the template is derived from a set of enrolled signature samples. Finally, given a signature template, a measure to quantify the repeatability of the online signature is derived from a validation set of samples. These three measures can then be used as an indicator for the performance of the system in rejecting random forgery samples and skilled forgery samples and the performance of users in providing accepted genuine samples, respectively. The effectiveness of these three measures and their applications are demonstrated through experiments performed on three online signature datasets and one keystroke dynamics dataset using different verification algorithms.