Modifications of the Correlation Method of Face Detection in Biometric Identification Systems

Zhurakovskyi, Bohdan and Fedorova, Nataliia and Pliushch, Oleksandr and Polishchuck, Mikhail and Korshun, Natalia (2022) Modifications of the Correlation Method of Face Detection in Biometric Identification Systems Cybersecurity Providing in Information and Telecommunication Systems 2022, 3288 (1). pp. 55-63. ISSN 1613-0073

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Abstract

The accuracy of the functioning of modern neural networks both in the reproduction mode and in the learning mode remains insufficient for many practical tasks, therefore it is expedient to create new methods and algorithms for processing signals and data in neural environments. The purpose of the work is to create a pattern recognition method based on modified differential Hebb learning to increase the accuracy of the functioning of modern neural networks both in the playback mode and in the learning mode. Modifications of the correlation method of face detection were developed, which made it possible to reduce the total classification error by more than two times. A scheme of the parallel process of face recognition based on 2D and 3D images by the appropriate algorithm is proposed.

Item Type: Article
Uncontrolled Keywords: Neural network; signal processing algorithm; correlation method of face detection; total classification error
Subjects: Це архівна тематика Київського університету імені Бориса Грінченка > Статті у наукометричних базах > Scopus
Divisions: Це архівні підрозділи Київського університету імені Бориса Грінченка > Факультет інформаційних технологій та математики > Кафедра інформаційної та кібернетичної безпеки імені професора Володимира Бурячка
Depositing User: Павло Миколайович Складанний
Date Deposited: 20 Dec 2022 16:47
Last Modified: 20 Dec 2022 16:47
URI: https://elibrary.kubg.edu.ua/id/eprint/43190

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