Online Examination System Based on Face Recognition Technology
Authors
Changwei Zhao1, Zhimeng Li2, *, Xinjun Ji2, Hongshu Yan3
1Engineering Training Center, Dalian Polytechnic University, Dalian, 116034, China
2School of Information Science and Engineering, Dalian Polytechnic University, Dalian, 116034, China
3Information Technology Center, Dalian Polytechnic University, Dalian, 116034, China
*Corresponding author.
Email: li867820298@outlook.com
Corresponding Author
Zhimeng Li
Available Online 4 September 2023.
- DOI
- 10.2991/978-94-6463-230-9_127How to use a DOI?
- Keywords
- Face recognition; Biometric recognition technology; Java
- Abstract
The online examination system uses biometric recognition technology, through the biological characteristics of the organism itself to distinguish the biological individual, the computer on the face image in turn for preprocessing, feature extraction, feature comparison and finally give the results to determine whether it is in line with. In the technology to eliminate the “proxy test” and other cheating events, to ensure the authenticity of the identity of candidates. It has important research significance in ensuring the fairness of examination and improving the quality of teaching in colleges and universities.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Changwei Zhao AU - Zhimeng Li AU - Xinjun Ji AU - Hongshu Yan PY - 2023 DA - 2023/09/04 TI - Online Examination System Based on Face Recognition Technology BT - Proceedings of the 3rd International Conference on Internet, Education and Information Technology (IEIT 2023) PB - Atlantis Press SP - 1053 EP - 1060 SN - 2667-128X UR - https://doi.org/10.2991/978-94-6463-230-9_127 DO - 10.2991/978-94-6463-230-9_127 ID - Zhao2023 ER -