Distinctiveness, complexity, and repeatability of online signature templates

TL;DR

This paper introduces three novel measures to quantify online signature templates' distinctiveness, complexity, and repeatability, aiding in system performance evaluation against forgery and genuine sample variability.

Contribution

It proposes new quantitative measures for signature template characteristics and demonstrates their effectiveness across multiple datasets and verification algorithms.

Findings

Measures effectively distinguish genuine and forgery samples.

Application of measures improves understanding of signature verification performance.

Validated across diverse datasets and algorithms.

Abstract

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.