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Improvement of a Dactyloscopic Authentication Security Using Polarimetric Technique

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Internet of Things, Smart Spaces, and Next Generation Networks and Systems (NEW2AN 2020, ruSMART 2020)

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 12526))

Abstract

The development of an optical polarimetric scheme for improvement of fingerprint systems is presented in this paper. It is based on Mueller matrix imaging (with 36 measurements) of scattering object using Lu-Chipman polar decomposition algorithm for calculation of polarimetric characteristics. Experiments were made with real fingers and several dummies made of gelatin and white glue. The proposed scheme and the algorithm have showed promising results for solving the problem of improving the security of fingerprint sensors.

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Acknowledgments

This research work was supported by Peter the Great St. Petersburg Polytechnic University in the framework of the Program “5-100-2020”.

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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, Saint Petersburg, 195251, Russia

    Pavel Trubin, Aleksandr Murashov, Dmitry Suntsov & Elena Velichko

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

Correspondence to Pavel Trubin .

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Editors and Affiliations

  1. Unit of Electrical Engineering, Tampere University, Tampere, Finland

    Olga Galinina

  2. Unit of Electrical Engineering, Tampere University, Tampere, Finland

    Sergey Andreev

  3. FRUCT Oy, Helsinki, Finland

    Sergey Balandin

  4. Unit of Electrical Engineering, Tampere University, Tampere, Finland

    Yevgeni Koucheryavy

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Trubin, P., Murashov, A., Suntsov, D., Velichko, E. (2020). Improvement of a Dactyloscopic Authentication Security Using Polarimetric Technique. In: Galinina, O., Andreev, S., Balandin, S., Koucheryavy, Y. (eds) Internet of Things, Smart Spaces, and Next Generation Networks and Systems. NEW2AN ruSMART 2020 2020. Lecture Notes in Computer Science(), vol 12526. Springer, Cham. https://doi.org/10.1007/978-3-030-65729-1_6

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  • DOI: https://doi.org/10.1007/978-3-030-65729-1_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-65728-4

  • Online ISBN: 978-3-030-65729-1

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