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      Distinctiveness, complexity, and repeatability of online signature templates

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          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.

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          MCYT baseline corpus: a bimodal biometric database

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            50 years of biometric research: Accomplishments, challenges, and opportunities

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              The importance of being random: statistical principles of iris recognition

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                Author and article information

                Journal
                09 August 2018
                Article
                10.1016/j.patcog.2018.07.024
                1808.03399
                e953b604-7df7-493b-82d4-ba380bd88434

                http://creativecommons.org/publicdomain/zero/1.0/

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                Custom metadata
                Preprint version of Pattern Recognition
                cs.CV

                Computer vision & Pattern recognition
                Computer vision & Pattern recognition

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