Research on Recognition of Faces with Masks Based on Improved Neural Network

Background. At present, the new crown virus is spreading around the world, causing all people in the world to wear masks to prevent the spread of the virus. Problem. People with masks have found a lot of trouble for face recognition. Finding a feasible method to recognize faces wearing masks is a pr...

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Autores principales:	Song Zhang, Jiandong Sun, Jie Kang, Shaoqiang Wang
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi Limited 2021
Materias:	Medicine (General) R5-920 Medical technology R855-855.5
Acceso en línea:	https://doaj.org/article/45852bab2b48457f8a13a78c6ec9f7cb
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spelling	oai:doaj.org-article:45852bab2b48457f8a13a78c6ec9f7cb2021-11-29T00:55:59ZResearch on Recognition of Faces with Masks Based on Improved Neural Network2040-230910.1155/2021/5169292https://doaj.org/article/45852bab2b48457f8a13a78c6ec9f7cb2021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/5169292https://doaj.org/toc/2040-2309Background. At present, the new crown virus is spreading around the world, causing all people in the world to wear masks to prevent the spread of the virus. Problem. People with masks have found a lot of trouble for face recognition. Finding a feasible method to recognize faces wearing masks is a problem that needs to be solved urgently. Method. This paper proposes a mask recognition algorithm based on improved YOLO-V4 neural network and the integrated SE-Net and DenseNet network and introduces deformable convolution. Conclusion. Compared with other target detection networks, the improved YOLO-V4 neural network used in this paper improves the accuracy of face recognition and detection with masks to a certain extent.Song ZhangJiandong SunJie KangShaoqiang WangHindawi LimitedarticleMedicine (General)R5-920Medical technologyR855-855.5ENJournal of Healthcare Engineering, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine (General) R5-920 Medical technology R855-855.5
spellingShingle	Medicine (General) R5-920 Medical technology R855-855.5 Song Zhang Jiandong Sun Jie Kang Shaoqiang Wang Research on Recognition of Faces with Masks Based on Improved Neural Network
description	Background. At present, the new crown virus is spreading around the world, causing all people in the world to wear masks to prevent the spread of the virus. Problem. People with masks have found a lot of trouble for face recognition. Finding a feasible method to recognize faces wearing masks is a problem that needs to be solved urgently. Method. This paper proposes a mask recognition algorithm based on improved YOLO-V4 neural network and the integrated SE-Net and DenseNet network and introduces deformable convolution. Conclusion. Compared with other target detection networks, the improved YOLO-V4 neural network used in this paper improves the accuracy of face recognition and detection with masks to a certain extent.
format	article
author	Song Zhang Jiandong Sun Jie Kang Shaoqiang Wang
author_facet	Song Zhang Jiandong Sun Jie Kang Shaoqiang Wang
author_sort	Song Zhang
title	Research on Recognition of Faces with Masks Based on Improved Neural Network
title_short	Research on Recognition of Faces with Masks Based on Improved Neural Network
title_full	Research on Recognition of Faces with Masks Based on Improved Neural Network
title_fullStr	Research on Recognition of Faces with Masks Based on Improved Neural Network
title_full_unstemmed	Research on Recognition of Faces with Masks Based on Improved Neural Network
title_sort	research on recognition of faces with masks based on improved neural network
publisher	Hindawi Limited
publishDate	2021
url	https://doaj.org/article/45852bab2b48457f8a13a78c6ec9f7cb
work_keys_str_mv	AT songzhang researchonrecognitionoffaceswithmasksbasedonimprovedneuralnetwork AT jiandongsun researchonrecognitionoffaceswithmasksbasedonimprovedneuralnetwork AT jiekang researchonrecognitionoffaceswithmasksbasedonimprovedneuralnetwork AT shaoqiangwang researchonrecognitionoffaceswithmasksbasedonimprovedneuralnetwork
_version_	1718407701866741760

Research on Recognition of Faces with Masks Based on Improved Neural Network

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