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Off-line signature verification without requiring random forgeries for training

  • Session IA1b — Feature Matching & Detection
  • Conference paper
  • First Online:
Image Analysis Applications and Computer Graphics (ICSC 1995)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1024))

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Abstract

This paper presents an Off-line Signature Verification System for the elimination of random forgeries. Compared with the proposed systems thus far, our system is trained with genuine signatures only. This eliminates many of the problems existent in the current systems. The proposed system is evaluated with a data base of 200 signatures.

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References

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Author information

Authors and Affiliations

  1. Centro Federal de EducaÇÃo Tecnológica do Parana (CEFET-PR), Pontifícia Universidadc Católica do Parana (PUC-PR), Av. Sete de Setembro 3165, 80230-901, Curitiba - Paraná, Brasil

    Nabeel A. Murshed & Flávio Bortolozzi

  2. école de Technologie Supérieure, 4750 rue 1 Henri-Julien, H2T 2C8, Montréal, QC, Canada

    Robert Sabourin

Authors
  1. Nabeel A. Murshed
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  2. Flávio Bortolozzi
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  3. Robert Sabourin
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Corresponding author

Correspondence to Nabeel A. Murshed .

Editor information

Roland T. Chin Horace H. S. Ip Avi C. Naiman Ting-Chuen Pong

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© 1995 Springer-Verlag Berlin Heidelberg

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Murshed, N.A., Bortolozzi, F., Sabourin, R. (1995). Off-line signature verification without requiring random forgeries for training. In: Chin, R.T., Ip, H.H.S., Naiman, A.C., Pong, TC. (eds) Image Analysis Applications and Computer Graphics. ICSC 1995. Lecture Notes in Computer Science, vol 1024. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-60697-1_93

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  • DOI: https://doi.org/10.1007/3-540-60697-1_93

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-60697-0

  • Online ISBN: 978-3-540-49298-6

  • eBook Packages: Springer Book Archive

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