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Recent Advances in Image Pre-processing Methods for Palmprint Biometrics

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Proceedings of the 10th International Conference on Computer Recognition Systems CORES 2017 (CORES 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 578))

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Abstract

Biometric identification may be used in real-life applications like security, forensic and common smartphones. However to ensure the robustness of biometric methods, the proper pre-processing method has to be applied. In this paper we focus only on this part of the whole recognition process. Finding an appropriate method is crucial, especially when the identification system is dedicated to a mobile scenario. An image acquired by a smartphone may have lower quality, be more defected by noises and blurred. In this paper we discuss only palmprint as a feature that may distinguish people. It is used in identification systems but still is rarely implemented in mobile.

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Author information

Authors and Affiliations

  1. Faculty of Telecommunications, Computer Science and Electrical Engineering, University of Science and Technology, Bydgoszcz, Poland

    Agata Wojciechowska, Michał Choraś & Rafał Kozik

Authors
  1. Agata Wojciechowska
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  2. Michał Choraś
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  3. Rafał Kozik
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Corresponding author

Correspondence to Agata Wojciechowska .

Editor information

Editors and Affiliations

  1. Department of Systems and Computer Networks, Wrocław University of Technology, Wrocław, Poland

    Marek Kurzynski

  2. Department of Systems and Computer Networks, Wrocław University of Technology, Wroclaw, Poland

    Michal Wozniak

  3. Department of Systems and Computer Networks, Wrocław University of Technology , Wroclaw, Poland

    Robert Burduk

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Wojciechowska, A., Choraś, M., Kozik, R. (2018). Recent Advances in Image Pre-processing Methods for Palmprint Biometrics. In: Kurzynski, M., Wozniak, M., Burduk, R. (eds) Proceedings of the 10th International Conference on Computer Recognition Systems CORES 2017. CORES 2017. Advances in Intelligent Systems and Computing, vol 578. Springer, Cham. https://doi.org/10.1007/978-3-319-59162-9_28

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  • DOI: https://doi.org/10.1007/978-3-319-59162-9_28

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-59161-2

  • Online ISBN: 978-3-319-59162-9

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