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New Approach for the On-Line Signature Verification Based on Method of Horizontal Partitioning

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Book cover Artificial Intelligence and Soft Computing (ICAISC 2013)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7895))

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Abstract

Identity verification is one of the biometric issues which may be realized using dynamic signature biometric attribute. One of the methods of signature verification is the method based on partitioning of signature trajectories. In this paper we propose a new method for verification of signature which signals were horizontally partitioned. This method assumes use of all partitions during classification process. Classifier presented in our method is based on the flexible neuro-fuzzy system of the Mamdani type. The algorithm was tested with use of the BioSecure Database (BMDB) distributed by the BioSecure Association.

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Author information

Authors and Affiliations

  1. Institute of Computational Intelligence, Częstochowa 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, Michiewicza 30, 30-059, Kraków, Poland

    Ryszard Tadeusiewicz

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

    Lotfi A. Zadeh

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

    Jacek M. Zurada

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Zalasiński, M., Cpałka, K. (2013). New Approach for the On-Line Signature Verification Based on Method of Horizontal Partitioning. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds) Artificial Intelligence and Soft Computing. ICAISC 2013. Lecture Notes in Computer Science(), vol 7895. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38610-7_32

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  • DOI: https://doi.org/10.1007/978-3-642-38610-7_32

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-38609-1

  • Online ISBN: 978-3-642-38610-7

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