Synthetic on-line signature generation. Part I: Methodology and algorithms

  • Authors:
  • Javier Galbally;Réjean Plamondon;Julian Fierrez;Javier Ortega-Garcia

  • Affiliations:
  • Biometric Recognition Group - ATVS, EPS, Universidad Autonoma de Madrid C/ Francisco Tomas y Valiente 11, 28049 Madrid, Spain;Laboratoire Scribens, Dép. de Génie ílectrique, ícole Polytechnique de Montréal 2900 Boulevard Edouard-Montpetit, Montréal, QC, Canada H3T 1J4;Biometric Recognition Group - ATVS, EPS, Universidad Autonoma de Madrid C/ Francisco Tomas y Valiente 11, 28049 Madrid, Spain;Biometric Recognition Group - ATVS, EPS, Universidad Autonoma de Madrid C/ Francisco Tomas y Valiente 11, 28049 Madrid, Spain

  • Venue:
  • Pattern Recognition
  • Year:
  • 2012

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Abstract

The theoretical framework and algorithms of a novel method for the generation of synthetic on-line signatures are presented. This model-based approach combines the spectral analysis of real signatures with the Kinematic Theory of rapid human movements in order to generate totally synthetic specimens. Two different algorithms are also described in order to produce duplicated samples from the synthetic master signatures, so that the generation scheme as a whole is able to produce in a complete automatic fashion huge synthetic databases. Typical examples of synthetic specimens are presented to highlight their human-like appearance. The validation protocol and the test results are presented and discussed in a companion paper.