Development of a Sigma-Lognormal representation for on-line signatures

  • Authors:
  • Christian O'Reilly;Réjean Plamondon

  • Affiliations:
  • Laboratoire Scribens, Département de Génie ílectrique, ícole Polytechnique de Montréal, C.P. 6079, Succursale Centre-Ville, Montréal, QC, Canada H3C 3A7;Laboratoire Scribens, Département de Génie ílectrique, ícole Polytechnique de Montréal, C.P. 6079, Succursale Centre-Ville, Montréal, QC, Canada H3C 3A7

  • Venue:
  • Pattern Recognition
  • Year:
  • 2009

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Abstract

This paper proposes an on-line signature representation based on Sigma-Lognormal modeling. It briefly overviews the prior art published on signature modeling and on human movement analysis for handwriting. Then it presents the Sigma-Lognormal paradigm and gives the key steps for the development of a completely automatic parameter extractor for complex human movements. Results of its application on signatures from a proprietary database and from the SVC2004 database are reported and analyzed in regards of the curve fitting quality. Other possible applications and future works are also suggested.