Proceedings of the 3rd International Conference on Digital Economy and Computer Application (DECA 2023)

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Research and Application of Facial Recognition Technology Based on AI Recognition System and Information Privacy Protection

Authors
Yuting Xing1, *
1School of Computer Science and Engineering, Tianjin University of Technology, Tianjin, 300382, China
*Corresponding author. Email: Xyyttt0111@163.com
Corresponding Author
Yuting Xing
Available Online 4 December 2023.
DOI
10.2991/978-94-6463-304-7_30How to use a DOI?
Keywords
AI identification system; information privacy protection; face recognition
Abstract

Currently, cross modal model algorithms are commonly used in facial recognition, which are susceptible to the influence of the confidence level of facial key points, resulting in low recognition accuracy. Therefore, the research and application of facial recognition technology based on AI recognition system and information privacy protection are proposed. Utilizing the sensitivity of AI recognition systems to feature perception and analysis, contour detection and alignment of faces are carried out. The confidence of facial key points is calculated using the pre-selected box scale function of the face, combined with pixel transformation matrix and decision matrix to extract facial feature points, and a set of feature vectors is constructed. Based on this, information privacy protection mechanisms are used to calculate the prediction probability of facial images, thus achieving facial recognition. The comparative experimental results show that the designed method can more accurately identify the samples to which the facial image belongs, and the recognition effect is better.

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 3rd International Conference on Digital Economy and Computer Application (DECA 2023)
Series
Atlantis Highlights in Computer Sciences
Publication Date
4 December 2023
ISBN
10.2991/978-94-6463-304-7_30
ISSN
2589-4900
DOI
10.2991/978-94-6463-304-7_30How 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  - Yuting Xing
PY  - 2023
DA  - 2023/12/04
TI  - Research and Application of Facial Recognition Technology Based on AI Recognition System and Information Privacy Protection
BT  - Proceedings of the 3rd International Conference on Digital Economy and Computer Application (DECA 2023)
PB  - Atlantis Press
SP  - 277
EP  - 291
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-304-7_30
DO  - 10.2991/978-94-6463-304-7_30
ID  - Xing2023
ER  -