Signature Verification Using Static and Dynamic Features

  • Mayank Vatsa
  • Richa Singh
  • Pabitra Mitra
  • Afzel Noore
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3316)

Abstract

A signature verification algorithm based on static and dynamic features of online signature data is presented. Texture and topological features are the static features of a signature image whereas the digital tablet captures in real-time the pressure values, breakpoints, and the time taken to create a signature. 1D – log Gabor wavelet and Euler numbers are used to analyze the textural and topological features of the signature respectively. A multi-classifier decision algorithm combines the results obtained from three feature sets to attain an accuracy of 98.18%.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Mayank Vatsa
    • 1
  • Richa Singh
    • 1
  • Pabitra Mitra
    • 1
  • Afzel Noore
    • 2
  1. 1.Department of Computer Science & EngineeringIndian Institute of TechnologyKanpurIndia
  2. 2.Lane Department of Computer Science & Electrical Engineering, College of Engineering and Mineral ResourcesWest Virginia UniversityMorgantownUSA

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