DOI: 10.17587/prin.13.331-343

Overview of Face Recognition Algorithms for Person Identification

D. V. Alexandrov, dmalex-m2@yandex.ru, School of Software Engineering, National Research University Higher School of Economics, Moscow, 109028, Russian Federation, Department of Corporate Information Systems MIREA — Russian Technological University, Moscow, 119454, Russian Federation

Corresponding author: Dmitriy V. Alexandrov, Professor, National Research University Higher School of Economics, Moscow, 109028, Russian Federation, MIREA — Russian Technological University, Moscow, 119454, Russian Federation, E-mail: dmalex-m2@yandex.ru

Trends in computer vision and pattern recognition and capabilities of modern computers contributed to a considerable amount of research of these areas application in facial recognition systems. The purpose of this paper is to investigate the most significant methods of face recognition. In the first two sections of current paper, the methods of face recognition and identification are presented. The analysis of these methods covers the most important features of the pattern recognition area. An application of groups of methods is considered for different purposes. This paper contains comments for capabilities of algorithms under observation. The third section reveals result of the algorithms testing using real-world datasets and examples.

Keywords: person identification, face recognition, neural networks, machine learning

pp. 331—343

For citation:
Alexandrov D. V. Overview of Face Recognition Algorithms for Person Identification, Programmnaya Ingeneria, 2022, vol. 13, no. 7, pp. 331—343.

The article is based on the materials of the report at the Seventh International Conference "Actual problems of Systems and Software Engineering" APSSE 2021.