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Research of the Correlation Between the Results of Detection the Liveliness of a Face and Its Identification by Facial Recognition Systems

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Data Analytics in System Engineering (CoMeSySo 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 935))

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Abstract

In this paper, the hypothesis is investigated that a system capable of solving the problem of face-anti-spoofing with biometric authentication is capable of partially solving the recognition problem without additional recognition modules, by finding and excluding those persons who have a low probability of being successfully recognized. To do this, the paper considers the device of the basic facial recognition system, highlighting the role of the anti-spoofing module. Other approaches to face recognition and selection of images that do not contain faces have also been studied. The problem under study is formalized and presented in mathematical form for further experiments. During a series of experiments on selected data sets, the results were obtained and visualized, proving the absence of a relationship between the operation of the anti-spoofing module and the facial recognition module. In conclusion, plans for further work in this direction are also presented. #COMESYSO1120.

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Authors and Affiliations

  1. Moscow Polytechnic University, 107023, Bolshaya Semyonovskaya Street, 38, Moscow, Russia

    Timur R. Abdullin, Sergei A. Kesel, Denis A. Konstantinov & Ilya V. Ovsyannikov

  2. JSC Social Card, Republic of Tatarstan, 420124, Meridiannaya Street, 4, Room 1, Kazan, Russia

    Aleksandr A. Shnyrev, Ramil Zainulin, Daniil Solovyev, Maxim S. Isaev & Timur V. Shipunov

Authors
  1. Aleksandr A. Shnyrev
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  2. Ramil Zainulin
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  3. Daniil Solovyev
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  4. Maxim S. Isaev
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  5. Timur V. Shipunov
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  6. Timur R. Abdullin
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  7. Sergei A. Kesel
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  8. Denis A. Konstantinov
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  9. Ilya V. Ovsyannikov
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Corresponding author

Correspondence to Sergei A. Kesel .

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Editors and Affiliations

  1. Faculty of Applied Informatics, Tomas Bata University in Zlin, Zlin, Czech Republic

    Radek Silhavy

  2. Faculty of Applied Informatics, Tomas Bata University in Zlin, Zlin, Czech Republic

    Petr Silhavy

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Shnyrev, A.A. et al. (2024). Research of the Correlation Between the Results of Detection the Liveliness of a Face and Its Identification by Facial Recognition Systems. In: Silhavy, R., Silhavy, P. (eds) Data Analytics in System Engineering. CoMeSySo 2023. Lecture Notes in Networks and Systems, vol 935. Springer, Cham. https://doi.org/10.1007/978-3-031-54820-8_40

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