Review on the face recognition based on deep learning

Research Article
Open access

Review on the face recognition based on deep learning

Runyi Chen 1*
  • 1 Nanjing University of Information Science & Technology    
  • *corresponding author wu804589@student.reading.ac.uk
Published on 23 October 2023 | https://doi.org/10.54254/2755-2721/22/20231217
ACE Vol.22
ISSN (Print): 2755-273X
ISSN (Online): 2755-2721
ISBN (Print): 978-1-83558-035-6
ISBN (Online): 978-1-83558-036-3

Abstract

Face recognition has emerged as a new trend in the era of intelligence due to the rapid growth of artificial intelligence and other cutting-edge technologies. This paper investigates the research and application of face recognition technology based on deep learning through a comprehensive literature review and analysis. The discussion encompasses the classification and processes of facial recognition technology, the incorporation of deep learning into face recognition, and the application of face recognition across a variety of domains. Particular emphasis is placed on the use of deep belief networks (DBN) and convolutional neural networks (CNN) in face recognition. Face recognition technology, facilitated by deep learning techniques, has become pervasive in our daily lives, vastly enhancing our quality of life and productivity.

Keywords:

face recognition, deep learning, convolutional neural network (CNN), deep belief network (DBN), 2D and 3D face recognition

Chen,R. (2023). Review on the face recognition based on deep learning. Applied and Computational Engineering,22,195-199.
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References

[1]. Lee S Y，Ham Y K，Park R H. Recognition of human front faces using knowledge-based feature extraction and neuron fuzzy algorithm, 1996.

[2]. Fleming M.K., Cottrell G.W. Categorization of faces using unsupervised feature extraction, 1996.

[3]. Yuandong Zhao. The Research on Face Recognition Method Based on Deep neural network. Shenyang University of Technology, 2019.

[4]. Lianjing Ding，Guangshuai Liu，Xurui Li，et al. Face recognition that combines weighted Information Entropy with improved local binary pattern. Computer Application Journal, 2019.

[5]. G. E. Hinton，R. R. Salakhutdinov. Reducing the dimensionality of data with neural networks. Science, 2006.

[6]. Xiaoyan Yin. Study of Face Recognition Based on Deep Learning. Tianjin University，2014.

[7]. Lingli Li. Overview of face recognition technology application based on deep learning theory. Guangzhou: Guangdong Vocational College of Judicial Police, 2021.

[8]. Bouvrie J. Notes on convolutional neural networks. Neural nets,2006.

[9]. Xiuping Zhu, Xueyi Wu, Wenfeng Liu. Review and Prospect of Face Recognition Technology[J]. Computer and Information Technology, 2008.

[10]. Lianjing Ding，Guangshuai Liu，Xurui Li, et al. Face recognition combining weighted Information Entropy with enhanced Local Binary Pattern [J]. Journal of Computer Applications, 2019.

Cite this article

Chen,R. (2023). Review on the face recognition based on deep learning. Applied and Computational Engineering,22,195-199.

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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About volume

Volume title: Proceedings of the 5th International Conference on Computing and Data Science

ISBN：978-1-83558-035-6(Print) / 978-1-83558-036-3(Online)
Editor：Alan Wang, Marwan Omar, Roman Bauer
Conference website: https://2023.confcds.org/
Conference date: 14 July 2023
Series: Applied and Computational Engineering
Volume number: Vol.22
ISSN：2755-2721(Print) / 2755-273X(Online)

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References

[1]. Lee S Y，Ham Y K，Park R H. Recognition of human front faces using knowledge-based feature extraction and neuron fuzzy algorithm, 1996.

[2]. Fleming M.K., Cottrell G.W. Categorization of faces using unsupervised feature extraction, 1996.

[3]. Yuandong Zhao. The Research on Face Recognition Method Based on Deep neural network. Shenyang University of Technology, 2019.

[4]. Lianjing Ding，Guangshuai Liu，Xurui Li，et al. Face recognition that combines weighted Information Entropy with improved local binary pattern. Computer Application Journal, 2019.

[5]. G. E. Hinton，R. R. Salakhutdinov. Reducing the dimensionality of data with neural networks. Science, 2006.

[6]. Xiaoyan Yin. Study of Face Recognition Based on Deep Learning. Tianjin University，2014.

[7]. Lingli Li. Overview of face recognition technology application based on deep learning theory. Guangzhou: Guangdong Vocational College of Judicial Police, 2021.

[8]. Bouvrie J. Notes on convolutional neural networks. Neural nets,2006.

[9]. Xiuping Zhu, Xueyi Wu, Wenfeng Liu. Review and Prospect of Face Recognition Technology[J]. Computer and Information Technology, 2008.

[10]. Lianjing Ding，Guangshuai Liu，Xurui Li, et al. Face recognition combining weighted Information Entropy with enhanced Local Binary Pattern [J]. Journal of Computer Applications, 2019.

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