文章基本信息

标题：DEVELOPMENT OF A REAL TIME HUMAN FACE RECOGNITION SOFTWARE SYSTEM
本地全文：下载
作者：ASKAR BORANBAYEV ; SEILKHAN BORANBAYEV ; MUKHAMEDZHAN AMIRTAEV 等
期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2021
卷号：99
期号：7
语种：English
出版社：Journal of Theoretical and Applied
摘要：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.
关键词：System;Recognition;Method;Algorithm;Neural Network