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Communication Dans Un Congrès Année : 2015

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

Résumé

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 complexity measure here proposed for this specific task
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Dates et versions

hal-01261394 , version 1 (25-01-2016)

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Christian Kahindo Senge Muvingi, Sonia Garcia-Salicetti, Nesma Houmani. A signature complexity measure to select reference signatures for online signature verification. BIOSIG 2015 : International Conference of the Biometrics Special Interest Group, Sep 2015, Darmstadt, Germany. pp.327 - 334, ⟨10.1109/BIOSIG.2015.7314595⟩. ⟨hal-01261394⟩
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