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Chapitre D'ouvrage Année : 2014

Two bioinspired methods for dynamic signatures analysis

Résumé

This work focuses on the problem of dynamic signature segmentation and representation. A brief review of segmentation techniques for online signatures and movement modelling is provided. Two dynamic signature segmentation/representation methods are proposed. These methods are based on psychophysical evidences that led to the well-known Minimum Jerk principle. These methods are alternatives to the existing techniques and are very simple to implement. Experimental evidence indicates that the Minimum Jerk is in fact a good choice for signature representation amongst the family of quadratic derivative cost functions
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Dates et versions

hal-01262469 , version 1 (26-01-2016)

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Jânio C. Canuto, Bernadette Dorizzi, Jugurta Montalvão. Two bioinspired methods for dynamic signatures analysis. Advances in digital handwritten signature processing : a human artefact for e-society, World Scientific, pp.27 - 38, 2014, 978-981-4579-62-9. ⟨10.1142/9789814579636_0003⟩. ⟨hal-01262469⟩
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