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.
FEATURES OF FACIAL RECOGNITION
Published June 2021
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Abstract
Language
Қазақ
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 Abai KazNPU. Series of Physical and mathematical sciences. 69, 1 (Jun. 2021), 374–377.