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Application of the SIFT Algorithm in the Architecture of a Convolutional Neural Network for Human Face Recognition

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Current Problems in Applied Mathematics and Computer Science and Systems (APAMCS 2022)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 702))

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Abstract

Solving the problem of pattern recognition is one of the areas of research in the field of digital video signal processing. Recognition of a person’s face in a real-time video data stream requires the use of advanced algorithms. Traditional recognition methods include neural network architectures for pattern recognition. To solve the problem of identifying singular points that characterize a person’s face, this paper proposes a neural network architecture that includes the method of scale-invariant feature transformation. Experimental modeling showed an increase in recognition accuracy and a decrease in the time required for training in comparison with the known neural network architecture. Software simulation showed reliable recognition of a person’s face at various angles of head rotation and overlapping of a person’s face. The results obtained can be effectively applied in various video surveillance, control and other systems that require recognition of a person’s face.

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Acknowledgments

The authors thank the North-Caucasus Federal University for supporting in the contest of projects competition of scientific groups and individual scientists of North-Caucasus Federal University.

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Authors and Affiliations

  1. North-Caucasus Federal University, Stavropol, Russia

    Diana Kalita & Parviz Almamedov

Authors
  1. Diana Kalita
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  2. Parviz Almamedov
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Corresponding author

Correspondence to Diana Kalita .

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Editors and Affiliations

  1. Information Systems Department, Stavropol State Agrarian University, Stavropol, Russia

    Anatoly Alikhanov

  2. Information Systems Department, Stavropol State Agrarian University, Stavropol, Russia

    Pavel Lyakhov

  3. Information Systems Department, Stavropol State Agrarian University, Stavropol, Stavropol Territory, Russia

    Irina Samoylenko

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Kalita, D., Almamedov, P. (2023). Application of the SIFT Algorithm in the Architecture of a Convolutional Neural Network for Human Face Recognition. In: Alikhanov, A., Lyakhov, P., Samoylenko, I. (eds) Current Problems in Applied Mathematics and Computer Science and Systems. APAMCS 2022. Lecture Notes in Networks and Systems, vol 702. Springer, Cham. https://doi.org/10.1007/978-3-031-34127-4_35

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  • DOI: https://doi.org/10.1007/978-3-031-34127-4_35

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-34126-7

  • Online ISBN: 978-3-031-34127-4

  • eBook Packages: EngineeringEngineering (R0)

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