In this paper, we explore a feature set extension by means of fractional derivatives and compare them with classical first and second order derivatives. Experimental results are performed on MCYT database, which consists of 330 users and skilled forgeries for online biometric handwritten signature.

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On the Use of Fractional Derivatives in Online Biometric Signature Recognition

  • Marcos Faundez-Zanuy,
  • Jan Mucha

摘要

In this paper, we explore a feature set extension by means of fractional derivatives and compare them with classical first and second order derivatives. Experimental results are performed on MCYT database, which consists of 330 users and skilled forgeries for online biometric handwritten signature.