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New Method for Dynamic Signature Verification Based on Global Features

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Book cover Artificial Intelligence and Soft Computing (ICAISC 2014)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8468))

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Abstract

Identity verification based on the dynamic signatures is commonly known issue of biometrics. This process is usually done using methods belonging to one of three approaches: global approach, local function based approach and regional function based approach. In this paper we focus on global features based approach which uses the so called global features extracted from the signatures. We present a new method of global features selection, which are used in the training and classification phase in a context of an individual. Proposed method bases on the evolutionary algorithm. Moreover, in the classification phase we propose a flexible neuro-fuzzy classifier of the Mamdani type. Our method was tested using the SVC2004 public on-line signature database.

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Authors and Affiliations

  1. Institute of Computational Intelligence, Częstochowa University of Technology, Poland

    Marcin Zalasiński & Krzysztof Cpałka

  2. Department of Computer Science, Meiji University, Japan

    Yoichi Hayashi

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  1. Marcin Zalasiński
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  2. Krzysztof Cpałka
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  3. Yoichi Hayashi
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Editor information

Editors and Affiliations

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

    Leszek Rutkowski  & Rafał Scherer  & 

  2. Częstochowa University of Technology, 42-200, Częstochowa, Poland

    Marcin Korytkowski

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

    Ryszard Tadeusiewicz

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

    Lotfi A. Zadeh

  5. Computational Intelligence Laboratory, 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., Hayashi, Y. (2014). New Method for Dynamic Signature Verification Based on Global Features. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds) Artificial Intelligence and Soft Computing. ICAISC 2014. Lecture Notes in Computer Science(), vol 8468. Springer, Cham. https://doi.org/10.1007/978-3-319-07176-3_21

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