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The Study of Mathematical Models and Algorithms for Face Recognition in Images Using Python in Proctoring System

Authors :
Ardak Nurpeisova
Anargul Shaushenova
Zhazira Mutalova
Zhandos Zulpykhar
Maral Ongarbayeva
Shakizada Niyazbekova
Alexander Semenov
Leila Maisigova
Source :
Computation, Vol 10, Iss 8, p 136 (2022)
Publication Year :
2022
Publisher :
MDPI AG, 2022.

Abstract

The article analyzes the possibility and rationality of using proctoring technology in remote monitoring of the progress of university students as a tool for identifying a student. Proctoring technology includes face recognition technology. Face recognition belongs to the field of artificial intelligence and biometric recognition. It is a very successful application of image analysis and understanding. To implement the task of determining a person’s face in a video stream, the Python programming language was used with the OpenCV code. Mathematical models of face recognition are also described. These mathematical models are processed during data generation, face analysis and image classification. We considered methods that allow the processes of data generation, image analysis and image classification. We have presented algorithms for solving computer vision problems. We placed 400 photographs of 40 students on the base. The photographs were taken at different angles and used different lighting conditions; there were also interferences such as the presence of a beard, mustache, glasses, hats, etc. When analyzing certain cases of errors, it can be concluded that accuracy decreases primarily due to images with noise and poor lighting quality.

Details

Language :
English
ISSN :
20793197
Volume :
10
Issue :
8
Database :
Directory of Open Access Journals
Journal :
Computation
Publication Type :
Academic Journal
Accession number :
edsdoj.2891a8472db440829f68b83501f02c82
Document Type :
article
Full Text :
https://doi.org/10.3390/computation10080136