Face recognition system as a modern way to ensuring information security

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The article focuses on the theoretical and empirical basis of the study, as well as the design of a future face recognition system. The purpose of the work is to reveal the features of face recognition systems in terms of determining their advantages and disadvantages from the position of information security, as well as to perform a software implementation of a face recognition system based on neural network technology. The results of the work include the systematization of information regarding the use of facial recognition systems in various types of activities (health care, retail trade, education, banking and financial sectors). The article summarizes the main advantages of facial recognition systems (identification of criminals, tracking attendance in educational institutions, transport security), as well as their disadvantages (threat to the privacy of individual and society, opportunities for fraud and other crimes. The article proposes a diagram of the facial modeling procedure, as well as a logical data model of the software product under development. It should be noted that facial recognition systems are not perfect and require further improvement, including eliminating legislative gaps in their operation.

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Information security, face recognition system, identification, neural networks

Короткий адрес: https://sciup.org/148329318

IDR: 148329318   |   DOI: 10.18137/RNU.V9187.24.02.P.123

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