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Stability Evaluation of the Dynamic Signature Partitions Over Time

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Artificial Intelligence and Soft Computing (ICAISC 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10245))

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Abstract

Analysis of biometric attributes’ changes is an important issue of behavioral biometrics. It seems to be very important in the case of identity verification. In this paper the analysis of features describing the dynamic signature was performed. The dynamic signature is represented by a set of nonlinear waveforms describing dynamics of signing process. The proposed analysis is based on a set of coefficients defined in the context of the dynamic signature partitioning. The partitioning is performed in order to facilitate analysis of the signature. It consists in division of the signature into parts which can be related to e.g. high and low velocity of pen in the initial and final phase of signing. The proposed method was tested using ATVS-SLT DB dynamic signature database.

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Acknowledgments

The project was financed by the National Science Centre (Poland) on the basis of the decision number DEC-2012/05/B/ST7/02138.

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Authors and Affiliations

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

    Marcin Zalasiński & Krzysztof Cpałka

  2. Nanyang Technological University, Singapore, Singapore

    Meng Joo Er

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  1. Marcin Zalasiński
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  2. Krzysztof Cpałka
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  3. Meng Joo Er
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Correspondence to Marcin Zalasiński .

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Editors and Affiliations

  1. Częstochowa University of Technology, Częstochowa, Poland

    Leszek Rutkowski

  2. Częstochowa University of Technology, Częstochowa, Poland

    Marcin Korytkowski

  3. Częstochowa University of Technology, Częstochowa, Poland

    Rafał Scherer

  4. AGH University of Science and Technology, Kraków, Poland

    Ryszard Tadeusiewicz

  5. University of California, Berkeley, California, USA

    Lotfi A. Zadeh

  6. University of Louisville, Louisville, Kentucky, USA

    Jacek M. Zurada

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Zalasiński, M., Cpałka, K., Er, M.J. (2017). Stability Evaluation of the Dynamic Signature Partitions Over Time. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L., Zurada, J. (eds) Artificial Intelligence and Soft Computing. ICAISC 2017. Lecture Notes in Computer Science(), vol 10245. Springer, Cham. https://doi.org/10.1007/978-3-319-59063-9_66

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