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A fuzzy perception for off-line handwritten signature verification

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Advances in Document Image Analysis (BSDIA 1997)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1339))

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Abstract

The purpose of this paper is the assessment of a family of shape factors for off-line signature verification. The initial method, suggested by Sabourin [1], which extracts geometric features, is modified to assess the performance of verification in the general case of forgery. We contribute to the information coded by adapting the coding method to the image and by integrating a spatial distance into the shape factor definition. Moreover, we include the coding of an information related to the dynamic of the signature. To use these two types of information, we propose a fiizzy technique to combine and then obtain one kind of information. We evaluate this new coding operator with two types of forgery random forgery and photocopy simulation with some adapted protocols.

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Author information

Authors and Affiliations

  1. Fac. des Sciences, Bd des Aiguillettes, CRAN, URA821, Equipe PRAISSIH, BP.239, 54506, Vandoeuvre, France

    C. Simon, E. Levrat & J. Bremont

  2. LIVIA, 1100 Rue Notre-Dame Ouest, H3C 1K3, Montréal, Québec, Canada

    R. Sabourin

Authors
  1. C. Simon
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  2. E. Levrat
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  3. R. Sabourin
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  4. J. Bremont
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Nabeel A. Murshed Flávio Bortolozzi

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© 1997 Springer-Verlag Berlin Heidelberg

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Simon, C., Levrat, E., Sabourin, R., Bremont, J. (1997). A fuzzy perception for off-line handwritten signature verification. In: Murshed, N.A., Bortolozzi, F. (eds) Advances in Document Image Analysis. BSDIA 1997. Lecture Notes in Computer Science, vol 1339. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-63791-5_20

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  • DOI: https://doi.org/10.1007/3-540-63791-5_20

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63791-2

  • Online ISBN: 978-3-540-69646-9

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