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The Application of Artificial Intelligence and Machine Learning in Face Recognition Technology
- 1 Century College, Beijing University of Posts and Telecommunications, Century College of Beijing University of Posts and Telecommunications, Kangzhuang Town, Yanqing District, Beijing,
* Author to whom correspondence should be addressed.
Abstract
In the wake of the swift development of artificial intelligence (AI) and machine learning (ML) technologies, face recognition technology has emerged as a prominent research focus within the realm of biometrics. This paper delves into the most recent advancements of AI and ML algorithms with regard to enhancing the accuracy and speed of face recognition. To begin with, a comprehensive review of the development of face recognition technology is conducted. It traces the progression from traditional methods to the application of deep learning technology, while also summarizing the merits and limitations of the existing technology. Subsequently, the key technologies used in this paper are elaborated upon in meticulous These encompass the convolutional neural network (CNN), deep learning feature extraction, transfer learning, and the attention mechanism in face recognition, among others. These markedly augment the model's processing capabilities when dealing with complex scenes, varying lighting conditions, and occlusion situations. Furthermore, this paper undertakes an exploration of privacy protection and ethical concerns, It puts forward strategies aimed at bolstering data protection and privacy security without compromising the identification performance. Finally, the principal findings of this study are encapsulated, and future research directions are outlined. These include the further optimization of algorithms to curtail the consumption of computing resources, the development of more efficient data enhancement techniques to enhance model generalization, and exploration of a broader range of application scenarios, such as intelligent security, personalized services, and accessibility assistance systems. This study not only provides theoretical underpinning and practical guidance for the development of face recognition technology but also paves the way for promoting the extensive application of AI technology in social life.
Keywords
Artificial intelligence, machine learning, face recognition, convolutional neural network
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Cite this article
Li,Z. (2024). The Application of Artificial Intelligence and Machine Learning in Face Recognition Technology. Applied and Computational Engineering,115,63-68.
Data availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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Volume title: Proceedings of the 5th International Conference on Signal Processing and Machine Learning
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