TY - JOUR
T1 - Development of a real time human face recognition software system
AU - Boranbayev, Askar
AU - Boranbayev, Seilkhan
AU - Amirtaev, Mukhamedzhan
AU - Baimukhamedov, Malik
AU - Nurbekov, Askar
N1 - Publisher Copyright:
© 2021 Little Lion Scientific.
PY - 2021/4/15
Y1 - 2021/4/15
N2 - In this study, a system for real-time face recognition was built using the Open Face tools of the Open CV library. The article describes the methodology for creating the system and the results of its testing. The Open CV library has various modules that perform many tasks. In this paper, Open CV modules were used for face recognition in images and face identification in real time. In addition, the HOG method was used to detect a person by the front of his face. After performing the HOG method, 128 face measurements were obtained using the image encoding method. A convolutional neural network was then used to identify people's faces using the SVM linear classifier algorithm.
AB - In this study, a system for real-time face recognition was built using the Open Face tools of the Open CV library. The article describes the methodology for creating the system and the results of its testing. The Open CV library has various modules that perform many tasks. In this paper, Open CV modules were used for face recognition in images and face identification in real time. In addition, the HOG method was used to detect a person by the front of his face. After performing the HOG method, 128 face measurements were obtained using the image encoding method. A convolutional neural network was then used to identify people's faces using the SVM linear classifier algorithm.
KW - Algorithm
KW - Method
KW - Neural network
KW - Recognition
KW - System
UR - http://www.scopus.com/inward/record.url?scp=85105131046&partnerID=8YFLogxK
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M3 - Article
AN - SCOPUS:85105131046
SN - 1992-8645
VL - 99
SP - 1693
EP - 1699
JO - Journal of Theoretical and Applied Information Technology
JF - Journal of Theoretical and Applied Information Technology
IS - 7
ER -