Development of a real time human face recognition software system
Boranbayev A. Boranbayev S. Amirtaev M. Baimukhamedov M. Nurbekov A.
15 April 2021Little Lion Scientific
Journal of Theoretical and Applied Information Technology
2021#99Issue 71693 - 1699 pp.
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 peoples faces using the SVM linear classifier algorithm.
Algorithm , Method , Neural network , Recognition , System
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Nazarbayev University, Nur-Sultan, Kazakhstan
L.N. Gumilyov Eurasian National University, Nur-Sultan, Kazakhstan
Kostanay Socio-Technical University named after Academician Z. Aldamzhar, Kostanay, Kazakhstan
The University of Texas Rio Grande Valley, Brownsville, United States
Nazarbayev University
L.N. Gumilyov Eurasian National University
Kostanay Socio-Technical University named after Academician Z. Aldamzhar
The University of Texas Rio Grande Valley
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