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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8616645/ https://www.ncbi.nlm.nih.gov/pubmed/34840698 http://dx.doi.org/10.1155/2021/5169292 |
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author | Zhang, Song Sun, Jiandong Kang, Jie Wang, Shaoqiang |
author_facet | Zhang, Song Sun, Jiandong Kang, Jie Wang, Shaoqiang |
author_sort | Zhang, Song |
collection | PubMed |
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 | Online Article Text |
id | pubmed-8616645 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-86166452021-11-26 Research on Recognition of Faces with Masks Based on Improved Neural Network Zhang, Song Sun, Jiandong Kang, Jie Wang, Shaoqiang J Healthc Eng Research Article 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. Hindawi 2021-11-18 /pmc/articles/PMC8616645/ /pubmed/34840698 http://dx.doi.org/10.1155/2021/5169292 Text en Copyright © 2021 Song Zhang et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Zhang, Song Sun, Jiandong Kang, Jie Wang, Shaoqiang Research on Recognition of Faces with Masks Based on Improved Neural Network |
title | 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_short | 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 |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8616645/ https://www.ncbi.nlm.nih.gov/pubmed/34840698 http://dx.doi.org/10.1155/2021/5169292 |
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