Abstract
The article discusses the capabilities of intelligent biometric systems of human authentication on the example of face recognition in security surveillance systems on a ship using the mathematical apparatus of artificial neural networks (NN). Analyzed traditional approaches in the field of facial recognition and revealed their features. The structure of a neural network facial recognition system using a computer vision system is proposed. Simulation experiments were conducted to test the performance of a trained NN when a sample was presented and the effect of interference on it, as well as the ability to predict changes in the parameters of a person, taking into account human aging factors. The results of the work of the National Assembly showed the prospects of the proposed approach.
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Mikhaylenko, V.S., Kharchenko, R.Y. & Shcherbinin, V.A. Analysis of the Predicting Neural Network Person Recognition System by Picture Image. Aut. Control Comp. Sci. 54, 249–258 (2020). https://doi.org/10.3103/S0146411620030037
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DOI: https://doi.org/10.3103/S0146411620030037