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Novel Algorithm for the On-Line Signature Verification

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Book cover Artificial Intelligence and Soft Computing (ICAISC 2012)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7268))

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Abstract

On-line signature is a biometric attribute used in a identity verification process. One of the most effective methods of signature verification is the method based on partitioning of signature trajectories. In this paper a concept of new approach to identity verification based on partitioning of trajectories is presented. In this approach signature is partitioned into subspaces which are weighted by weights of importance. The weights are used in classification process. Partitions associated with high values of weight have greater importance in classification process than partitions associated with low weight values. The algorithm was tested with use of public on-line signature database SVC 2004.

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Author information

Authors and Affiliations

  1. Department of Computer Engineering, Czestochowa University of Technology, Poland

    Marcin Zalasiński & Krzysztof Cpałka

Authors
  1. Marcin Zalasiński
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  2. Krzysztof Cpałka
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Editor information

Editors and Affiliations

  1. Częstochowa University of Technology, Armii Krajowej 36, 42-200, Częstochowa, Poland

    Leszek Rutkowski , Marcin Korytkowski  & Rafał Scherer ,  & 

  2. AGH University of Science and Technology, Mickiewicza 30, 30-059, Kraków, Poland

    Ryszard Tadeusiewicz

  3. Department of Electrical Engineering and Computer Sciences, Computer Science Division, University of California Berkeley, 94720-1776, Berkeley, CA, USA

    Lotfi A. Zadeh

  4. Computational Intelligence Laboratory, Electrical and Computer Engineering, University of Louisville, 405 Lutz Hall, 40292, Louisville, KY, USA

    Jacek M. Zurada

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© 2012 Springer-Verlag Berlin Heidelberg

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Zalasiński, M., Cpałka, K. (2012). Novel Algorithm for the On-Line Signature Verification. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds) Artificial Intelligence and Soft Computing. ICAISC 2012. Lecture Notes in Computer Science(), vol 7268. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29350-4_44

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  • DOI: https://doi.org/10.1007/978-3-642-29350-4_44

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-29349-8

  • Online ISBN: 978-3-642-29350-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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