Open Access

The Optimization of Face Recognition Technology Based on Convolutional Neural Network

  
Nov 22, 2024

Cite
Download Cover

Hong, L. U. (2018). Face recognition method based on convolution neural network. Modern Information Technology, 58(33), 56-74. Search in Google Scholar

Bao, R. D., & Zhao, M. (2018). Review of face recognition based on convolution neural network. Software Guide, 85(25), 64-87. Search in Google Scholar

Zhang, Y. A., Wang, H. Y., & Fang, X. U. (2017). Face recognition based on deep convolution neural network and center loss. Science Technology and Engineering, 76(16), 14-75. Search in Google Scholar

Shahzad, T., Iqbal, K., & Khan, M. (2023). Role of zoning in facial expression using deep learning. IEEE Access, 11(11), 16493-16508. Search in Google Scholar

Wu, Y., Zhang, L., & Gu, Z. (2023). Edge-AI-driven framework with efficient mobile network design for facial expression recognition. ACM Transactions on Embedded Computing Systems, 2023(3), 22. Search in Google Scholar

Zhang, W., Zhang, X., & Tang, Y. (2023). Facial expression recognition based on improved residual network. IET Image Processing, 2023(7), 17. Search in Google Scholar

Qiu, S., Nie, R. C., Zhou, D. M., et al. (2018). Face recognition method using the self-normalizing convolution neural network. Journal of Yunnan University (Natural Sciences Edition), 35(19), 65-87. Search in Google Scholar

Ran, P., Wang, L., Xin, L. I., et al. (2018). Improved softmax classifier for deep convolution neural networks and its application in face recognition. Journal of Shanghai University (Natural Science Edition), 9(3), 11-24. Search in Google Scholar

Nie, C. (2017). Research of convolution neural network on face recognition. Journal of Harbin University of Commerce (Natural Sciences Edition), 66(19), 30-46. Search in Google Scholar

Huang, L., Kang, Z., Zhang, C., et al. (2019). Research on face recognition technology based on lightweight convolutional neural networks. Journal of Hunan University of Technology, 69(54), 21-56. Search in Google Scholar

Xu, L., Meng, X., & Song, N. (2018). Multi-directional face detection based on convolutional neural network. Information Technology, 000(003), 45-49. Search in Google Scholar

Wang, L. K. (2019). Research and design of face recognition based on convolutional neural network. Telecom Power Technology, 75(36), 29-43. Search in Google Scholar

Zhao, X. D., & Huang, H. (2018). Research on face recognition based on convolutional neural network. Information Technology, 55(13), 22-46. Search in Google Scholar

Xingcheng, Luo, Ruihan, et al. (2017). A deep convolution neural network model for vehicle recognition and face recognition. Procedia Computer Science, 29(4), 56-74. Search in Google Scholar

Qiu, W. L. (2018). An improved face recognition algorithm for convolution neural network. Modern Computer, 78(25), 45-97. Search in Google Scholar

Guo, X. J., Chen, L., Shen, C. Q., et al. (2017). Adaptive deep convolution neural network and its application in human face recognition. Techniques of Automation and Applications, 58(15), 35-75. Search in Google Scholar

Ma, L., & Zhang, Y. (2021). Research on vehicle license plate recognition technology based on deep convolutional neural networks. Microprocessors and Microsystems, 56(Apr.), 82-98. Search in Google Scholar

Alghamdi, T., & Alaghband, G. (2020). Two concurrent convolution neural networks TC*CNN model for face recognition using edge. 69(6), 35-98. Search in Google Scholar

Bai-Sheng, D. U. (2018). Research on unsupervised feature extraction based on convolutional neural network for face recognition. Computer Technology and Development, 46(16), 12-89. Search in Google Scholar

Li-Sheng, X. U., Meng, X. F., Song, N., et al. (2018). Face detection based on convolution neural network in multi-azimuth video surveillance. Information Technology, 46(15), 42-63. Search in Google Scholar

Wang, Y. W. (2019). Facial expression recognition algorithm based on convolutional neural network and feature extraction. Computer Knowledge and Technology, 25(9), 15-35. Search in Google Scholar

Otani, Y. O. H. (2021). Potency of individual identification of Japanese macaques (Macaca fuscata) using a face recognition system and a limited number of learning images. Mammal Study, 46(1). Search in Google Scholar

Ozdemir, D., & Uur, M. E. (2021). A model proposal on the determination of student attendance in distance education with face recognition technology. Turkish Online Journal of Distance Education, 22(1), 19-32. https://doi.org/10.17718/tojde.849872 Search in Google Scholar

Wang, Z. Y., Abhadiomhen, S. E., Zhi-Feng, L., et al. (2021). Multi-view intrinsic low-rank representation for robust face recognition and clustering. IET Image Processing, 14, 15. Search in Google Scholar

Language:
English