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Selecting reference signatures for on-line signature verification

  • G. Congedo
  • G. Dimauro
  • A. M. Forte
  • S. Impedovo
  • G. Pirlo
Pattern Recognition and Document Processing
Part of the Lecture Notes in Computer Science book series (LNCS, volume 974)

Abstract

Personal stability in signing in one of the key factors for high-accuracy signature verification. In this paper the local stability of a dynamic signature is measured. The acccuracy of an on-line signature verification system is improved by selecting, among a set of specimens available, the subset of reference signatures which is near-optimal for different signature representation domains in terms of impostor-acceptance error rate.

References

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    G. Pirlo, “Algorithm for Signature Verification”, in Fundamentals in Handwriting Recognition, NATO-ASI Series, Springer-Verlag, pp. 139–152, 1994.Google Scholar
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    Progress in Automatic Signature Verification, World Scientific Publ., R. Plamondon (ed.), 1994.Google Scholar
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    J.-J. Brault, R. Plamondon, “A complexity Measure of Handwritten Curves: Mideling of Dynamic Signature Forgery”, IEEE Transactions on System, Man, and Cybernetics, Vol. 23, no. 2, March/April 1993, pp. 400–413.Google Scholar
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    G. Congedo, G. Dimauro, S. Impedovo, G. Pirlo, “A New Methodology for the Measurement of Local Stability in Dynamical Signatures”, Proc. of the Fourth International Workshop on Frontiers in Handwriting Recognition, Taipei, Taiwan, Dec. 7–9, 1994, pp. 135–144.Google Scholar
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    G. Dimauro, S. Impedovo, G. Pirlo, “On-line Signature Verification through a Dynamical Segmentation Technique”, Proc. of the Third International Workshop on Frontiers in Handwriting Recognition, Buffalo-NY, USA, 1993, pp. 262–271.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1995

Authors and Affiliations

  • G. Congedo
    • 1
  • G. Dimauro
    • 1
  • A. M. Forte
    • 1
  • S. Impedovo
    • 1
  • G. Pirlo
    • 1
  1. 1.Dipartimento di InformaticaUniversità di BariBariItaly

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