HMM-based on-line signature verification: Feature extraction and signature modeling

  • Authors:
  • Julian Fierrez;Javier Ortega-Garcia;Daniel Ramos;Joaquin Gonzalez-Rodriguez

  • Affiliations:
  • Biometric Recognition Group - ATVS, Escuela Politecnica Superior, Universidad Autonoma de Madrid, C/Francisco Tomas y Valiente 11, 28049 Madrid, Spain;Biometric Recognition Group - ATVS, Escuela Politecnica Superior, Universidad Autonoma de Madrid, C/Francisco Tomas y Valiente 11, 28049 Madrid, Spain;Biometric Recognition Group - ATVS, Escuela Politecnica Superior, Universidad Autonoma de Madrid, C/Francisco Tomas y Valiente 11, 28049 Madrid, Spain;Biometric Recognition Group - ATVS, Escuela Politecnica Superior, Universidad Autonoma de Madrid, C/Francisco Tomas y Valiente 11, 28049 Madrid, Spain

  • Venue:
  • Pattern Recognition Letters
  • Year:
  • 2007

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Abstract

A function-based approach to on-line signature verification is presented. The system uses a set of time sequences and Hidden Markov Models (HMMs). Development and evaluation experiments are reported on a subcorpus of the MCYT bimodal biometric database comprising more than 7000 signatures from 145 subjects. The system is compared to other state-of-the-art systems based on the results of the First International Signature Verification Competition (SVC 2004). A number of practical findings related to feature extraction and modeling are obtained.