Face Recognition Technology Based NCS Models

Zulfiqar, M., Syed, F., Khan, M.J., Khurshid, Ok.: Deep face recognition for biometric authentication. In: International Conference on Electrical, Communication, and Computer Engineering, pp. 1–6 (2019)

Google Scholar 

Yan, Ok., Huang, S., Song, Y., Liu, W., Fan, N.: Face recognition primarily based on convolution neural community. In: Chinese Control Conference, pp. 4077–408 (2017)

Google Scholar 

Pranav, Ok.B., Manikandan, J.: Design and analysis of a real-time face recognition system utilizing convolutional neural networks. In: International Conference on Computing and Network Communications, pp. 1651–1659 (2020). Proc. Comput. Sci.

Google Scholar 

Hu, G., et al.: When face recognition meets with deep studying: an analysis of convolutional neural networks for face recognition. In: International Conference on Computer Vision, pp. 384–392 (2016)

Google Scholar 

Wang, D., Yu, H., Wang, D., Li, G.: Face recognition system primarily based on NCS. In: International Conference on Computer Information and Big Data Applications, pp. 470–473 (2020)

Google Scholar 

Zhiqi, Y.: Face recognition primarily based on improved VGGNET convolutional neural community. In: Advanced Information Technology, Electronic and Automation Control Conference, pp. 2530–2533 (2021)

Google Scholar 

Perdana, A.B., Prahara, A.: Face recognition utilizing light-convolutional neural networks primarily based on modified VGG16 mannequin. In: International Conference of Computer Science and Information Technology, pp. 1–4 (2019)

Google Scholar 

Aung, H., Bobkov, A.V., Tun, N.L.: Face detection in actual time reside video utilizing YOLO algorithm primarily based on VGG16 convolutional neural community. In: International Conference on Industrial Engineering, Applications and Manufacturing, pp. 697–702 (2021)

Google Scholar 

Li, Y., Wang, Z., Li, Y., Zhao, X., Huang, H.: Design of face recognition system primarily based on NCS. J. Phys.: Conf. Ser. 1601 (2020)

Google Scholar 

Lin, M., Zhang, Z., Zheng, W.: A small pattern face recognition methodology primarily based on deep studying. In: International Conference on Communication Technology, pp. 1394–1398 (2020)

Google Scholar 

Peng, X., Ma, J., Liu, Y., He, J., Wang, W., Wang, Y.: Research on face recognition primarily based on small samples of NCS. In: International Conference on Electron Devices and Solid-State Circuits, pp. 1–3 (2019)

Google Scholar 

Aiman, U., Vishwakarma, V.P.: Face recognition utilizing modified Deep Learning Neural Network. In: International Conference on Computing, Communication and Networking Technologies, pp. 1–5 (2017)

Google Scholar 

Viola, P., Jones, M.: Rapid object detection utilizing a boosted cascade of straightforward options. In: Computer Society Conference on Computer Vision and Pattern Recognition, p. I (2001)

Google Scholar 

Krizhevsky, A., Sutskever, I., Hinton, G.E.: ImageNet classification with deep convolutional neural networks. Commun. ACM 60(6), 84–90 (2017)

Article 

Google Scholar