The Development of Face Recognition Technology Based on Deep Learning

DOI

10.2991/978-94-6239-648-7_34How to use a DOI?

Keywords

Face recognition technology; deep learning; neural networks; multimodal fusion

Abstract

Nowadays with the constantly moving forward of the society, the development of facial recognition technology and the improvement of people’s safety awareness, human beings have begun to conduct more in-depth research on facial recognition technology. Continuous research on deep learning technology can bring about new breakthroughs in facial recognition technology. The article compares artificial neural networks and convolutional neural networks to combine the advantages and disadvantages of the two neural networks. The relevant researchers carried out the integration of multiple networks and multiple channels to achieve a technological breakthrough. The article reviews the current research status and methods in four major directions: thermal infrared technology, facial feature recognition technology, age factor interference recognition technology, and stealth counterattack technology. At the same time, the article also introduces the application scenarios of facial recognition technology, such as in the fields of public security, identity verification, security systems, and smart campuses and so on. Through these three major parts, it comprehensively clarifies the development direction of facial recognition technology. In the future, researchers will continue to make progress in improving the accuracy of face recognition, overcoming the interference of age and expressions on the face recognition system, and overcoming covert attacks. At the same time, facial recognition technology will continue to develop in the direction of greater convenience and multi-modal integration.

Copyright

© 2026 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.

Download article (PDF)

TY  - CONF
AU  - Xiaoxun Huang
PY  - 2026
DA  - 2026/04/24
TI  - The Development of Face Recognition Technology Based on Deep Learning
BT  - Proceedings of the International Workshop on Advances in Deep Learning for Image Analysis and Computer Vision (IWADIC 2025)
PB  - Atlantis Press
SP  - 311
EP  - 320
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6239-648-7_34
DO  - 10.2991/978-94-6239-648-7_34
ID  - Huang2026
ER  -