The Development and Applications of Facial Recognition Technology

Yihan Xu

2025

Abstract

The rapid development of face recognition technology has brought great convenience to society and has been widely used in many fields. With continuous improvement, the current face recognition technology has become more reliable. This article first introduces the role of pre-processing work in face recognition, focusing on how these pre-processing steps affect the final recognition results. Subsequently, this article lists three typical applications: emotion recognition, disease auxiliary diagnosis, and micro-expression lie detection. These applications demonstrate the development and application of face recognition technology in different fields. For these applications, different algorithms are used to achieve their respective recognition effects. Although existing algorithms have made significant progress in recognition efficiency and accuracy, they still face technical difficulties and security risks. In response to these problems, this article proposes strategies to solve them by increasing the amount of data, optimizing laws and regulations, and improving models. Finally, this article looks forward to the future development direction of face recognition technology and proposes the possibility of transforming static face recognition into more comprehensive and stable dynamic face recognition, which indicates the broad application prospects of dynamic face recognition technology.

Paper Citation

in Harvard Style

Xu Y. (2025). The Development and Applications of Facial Recognition Technology. In Proceedings of the 2nd International Conference on Data Science and Engineering - Volume 1: ICDSE; ISBN 978-989-758-765-8, SciTePress, pages 11-15. DOI: 10.5220/0013677200004670

in Bibtex Style

@conference{icdse25,
author={Yihan Xu},
title={The Development and Applications of Facial Recognition Technology},
booktitle={Proceedings of the 2nd International Conference on Data Science and Engineering - Volume 1: ICDSE},
year={2025},
pages={11-15},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013677200004670},
isbn={978-989-758-765-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on Data Science and Engineering - Volume 1: ICDSE
TI - The Development and Applications of Facial Recognition Technology
SN - 978-989-758-765-8
AU - Xu Y.
PY - 2025
SP - 11
EP - 15
DO - 10.5220/0013677200004670
PB - SciTePress