Proceedings of the 2nd International Academic Conference on Blockchain, Information Technology and Smart Finance (ICBIS 2023)

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Review of Face Recognition and Anti-mask Interference Technology

Authors
Mingrui Zhou1, *, Xiangyu Chen1
1Wuhan Donghu University, Wuhan, China
*Corresponding author. Email: 947422384@qq.com
Corresponding Author
Mingrui Zhou
Available Online 10 August 2023.
DOI
10.2991/978-94-6463-198-2_138How to use a DOI?
Keywords
Face Recognition; Interference; Accuracy
Abstract

Face recognition is one of the hottest research directions in artificial intelligence. Its development is relatively mature, so it is widely used in various fields. However, since the outbreak of novel coronavirus pneumonia in 2019, most of them recommend or require people to wear masks to prevent infection, this has caused a lot of trouble to some existing face recognition systems. Some systems have not been optimized for large-scale occlusion on the face, these interferences will sharply reduce the recognition accuracy of the system. Wearing masks is an issue that cannot be completely avoided in the current era. This paper investigates some existing face recognition algorithms and models, and finds that a considerable number of face recognition technologies are faced with an important problem: they did not consider the situation of large-scale users wearing masks at the beginning of their design. On this basis, this paper summarizes the research status and application of face recognition technology, and analyzes the problems and development trend of face recognition technology under the current epidemic prevention background.

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.

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Volume Title
Proceedings of the 2nd International Academic Conference on Blockchain, Information Technology and Smart Finance (ICBIS 2023)
Series
Atlantis Highlights in Computer Sciences
Publication Date
10 August 2023
ISBN
978-94-6463-198-2
ISSN
2589-4900
DOI
10.2991/978-94-6463-198-2_138How to use a DOI?
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

risenwbib
TY  - CONF
AU  - Mingrui Zhou
AU  - Xiangyu Chen
PY  - 2023
DA  - 2023/08/10
TI  - Review of Face Recognition and Anti-mask Interference Technology
BT  - Proceedings of the 2nd International Academic Conference on Blockchain, Information Technology and Smart Finance (ICBIS 2023)
PB  - Atlantis Press
SP  - 1329
EP  - 1335
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-198-2_138
DO  - 10.2991/978-94-6463-198-2_138
ID  - Zhou2023
ER  -