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

Song Zhang¹, Jiandong Sun¹, Jie Kang¹

¹The Affiliated Hospital of Qingdao University, Qingdao 266000, China.

Journal of Healthcare Engineering

|November 29, 2021

Abstract

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.

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