Fusion of static image and dynamic information for signature verification

  • Authors:
  • F. Alonso-Fernandez;J. Fierrez;M. Martinez-Diaz;J. Ortega-Garcia

  • Affiliations:
  • Biometric Recognition Group-ATVS, Escuela Politecnica Superior, Universidad Autonoma de Madrid, Madrid, Spain;Biometric Recognition Group-ATVS, Escuela Politecnica Superior, Universidad Autonoma de Madrid, Madrid, Spain;Biometric Recognition Group-ATVS, Escuela Politecnica Superior, Universidad Autonoma de Madrid, Madrid, Spain;Biometric Recognition Group-ATVS, Escuela Politecnica Superior, Universidad Autonoma de Madrid, Madrid, Spain

  • Venue:
  • ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
  • Year:
  • 2009

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Abstract

This paper evaluates the combination of static image (off-line) and dynamic information (on-line) for signature verification. Two off-line and two on-line recognition approaches exploiting information at the global and local levels are used. Experimental results are given using the BiosecurID database (130 signers, 3,640 signatures). Fusion experiments are done using a trained fusion approach based on linear logistic regression. It is shown experimentally that the local systems outperform the global ones, both in the on-line and in the off-line case. We also observe a considerable improvement when combining the two on-line systems, which is not the case with the off-line systems. The best performance is obtained when fusing all the systems together, which is specially evident for skilled forgeries when enough training data is available.