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Bulletin of the Abai KazNPU, the series of "Physical and Mathematical Sciences"
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Vol. 69 No. 1 (2020)

FEATURES OF FACIAL RECOGNITION

Published June 2021
F.U Malikova+− N.ZH Zhanat+− A.K Saginayeva+− R.S Ryskeldy+−
Al-Farabi Kazakh National University, Almaty
Al-Farabi Kazakh National University, Almaty
Al-Farabi Kazakh National University, Almaty
Almaty Technological University, Almaty,
Abstract

The facial recognition system is used to provide identification and authentication during functional testing. It can also
be used to identify people in different situations. This article presents a comparative study of the algorithms used for facial
isolation and recognition. Algorithms are general algorithms that match a recognizable face. The concept of each
algorithm is explained and a corresponding description is given. In addition, the results of the algorithms are evaluated in
a data set and are displayed as graphs for evaluating the effectiveness of each algorithm. Algorithms work with a common
data set and display the percentage of functions obtained.

pdf (Қаз)
Language

Қаз

Keywords
feature extraction, neural network Speeded Up Robust Features (SURF) Histogram of Oriented Gradients (HOG Local Binary Patterns (LBP)
How to Cite

[1]
Маликова, Ф., Жанат, Н., Сагинаева A. and Рыскелды, Р. 2021. FEATURES OF FACIAL RECOGNITION. Bulletin of the Abai KazNPU, the series of "Physical and Mathematical Sciences". 69, 1 (Jun. 2021), 374–377.