Application of Face Recognition Technology in The Computer Examination System of Higher Education Self-Study Examination
- DOI
- 10.2991/978-94-6463-058-9_132How to use a DOI?
- Keywords
- Face recognition; Identity verification; Self-study exam; Technical exam system
- ABSTRACT
In order to improve the intelligence of the computerized examination system for the higher education self-study examination and simplify the process of verifying the identity of the candidates, this paper proposes a design method of the computerized examination system for the higher education self-study examination based on face recognition. The requirements of the system are analyzed, and then the structure and functions of the system as well as the key technologies used in face recognition are further elaborated. Finally, the role of the system in the examination process is introduced. Research has shown that the computerized examination system for higher education self-study examinations based on face recognition can realize intelligent management of various links in the examination, improve the efficiency of examinations, and play an important role in identity verification and other links.
- 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 - Ligang Sun PY - 2022 DA - 2022/12/27 TI - Application of Face Recognition Technology in The Computer Examination System of Higher Education Self-Study Examination BT - Proceedings of the 2nd International Conference on Internet, Education and Information Technology (IEIT 2022) PB - Atlantis Press SP - 844 EP - 849 SN - 2352-538X UR - https://doi.org/10.2991/978-94-6463-058-9_132 DO - 10.2991/978-94-6463-058-9_132 ID - Sun2022 ER -