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Advancement of Fingerprint Polarimetric Scheme for Purposes of Authentication

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Internet of Things, Smart Spaces, and Next Generation Networks and Systems (NEW2AN 2021, ruSMART 2021)

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 13158))

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Abstract

Development of laboratory setup for the analysis of polarization features of biological tissues in order to increase the security of fingerprint systems is considered in this work. Calculation method based on Mueller-Stokes measurement of scattered light. Lu-Chipman algorithm of Mueller matrix polar decomposition was used for obtaining polarimetric parameters. During the work automated electromechanical elements were added to the setup. Program for controlling these elements was developed using LABVIEW. Experiments comparing polarimetric parameters of different people were carried out. Images of polarimetric parameters distribution on the surface of the finger were obtained. It is shown that the proposed scheme and data processing algorithm are promising for solving the problem of increasing the reliability of fingerprint sensors.

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Acknowledgements

The reported study was funded by RFBR, project number 20-32-90121.

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Authors and Affiliations

  1. Higher School of Applied Physics and Space Technologies, Peter the Great St. Petersburg Polytechnic University (SPbPU), Polytechnicheskaya Street. 29, 195251, Saint-Petersburg, Russia

    Trubin Pavel, Murashov Aleksandr, Suntsov Dmitriy & Velichko Elena

Authors
  1. Trubin Pavel
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  2. Murashov Aleksandr
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  3. Suntsov Dmitriy
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  4. Velichko Elena
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Corresponding author

Correspondence to Trubin Pavel .

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Editors and Affiliations

  1. Tampere University, Tampere, Finland

    Yevgeni Koucheryavy

  2. FRUCT Oy, Helsinki, Finland

    Sergey Balandin

  3. Tampere University, Tampere, Finland

    Sergey Andreev

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Pavel, T., Aleksandr, M., Dmitriy, S., Elena, V. (2022). Advancement of Fingerprint Polarimetric Scheme for Purposes of Authentication. In: Koucheryavy, Y., Balandin, S., Andreev, S. (eds) Internet of Things, Smart Spaces, and Next Generation Networks and Systems. NEW2AN ruSMART 2021 2021. Lecture Notes in Computer Science(), vol 13158. Springer, Cham. https://doi.org/10.1007/978-3-030-97777-1_39

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  • DOI: https://doi.org/10.1007/978-3-030-97777-1_39

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-97776-4

  • Online ISBN: 978-3-030-97777-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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