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A signature complexity measure to select reference signatures for online signature verification

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2015

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Gesellschaft für Informatik e.V.

Zusammenfassung

This paper presents an original procedure for selecting the reference online signature instances of a writer, an important issue for any effective signature verifier. To this end, for each signature instance, we propose a novel complexity measure, by exploiting a global description of signatures in the frequency domain as well as a global statistical modelling of each signature instance. To select the reference signatures, we propose a method based on the distribution of complexity values for all the available genuine signatures. The 2500 genuine samples of MCYT-100 online database are used in this study. Experimental results show the effectiveness of the method and of the here proposed complexity measure for this specific task.

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Kahindo, Christian; Garcia-Salicetti, Sonia; Houmani, Nesma (2015): A signature complexity measure to select reference signatures for online signature verification. BIOSIG 2015. Bonn: Gesellschaft für Informatik e.V.. PISSN: 1617-5468. ISBN: 978-3-88579-639-8. pp. 327-334. Darmstadt. 9.-11. September 2015

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