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Communication Dans Un Congrès EAHSP '13 : International Workshop on Emerging Aspects on Handwritten Signature Processing Année : 2013

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 Model. 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 defined in Section 2.

Dates et versions

hal-00860185 , version 1 (10-09-2013)

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Citer

Jânio C. Canuto, Bernadette Dorizzi, Jugurta Montalvão. Two bioinspired methods for dynamic signatures analysis. EAHSP '13 : International Workshop on Emerging Aspects on Handwritten Signature Processing, Sep 2013, Naples, Italy. pp.60-68, ⟨10.1007/978-3-642-41190-8_7⟩. ⟨hal-00860185⟩
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