What is it about?

Conventional face recognition system might have difficulty in recognizing masked faces. This work is to propose a deep-learning method in masked face recognition system, in extracting more salient features and preventing overfitting problems.

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Why is it important?

The proposed method helps to enhance the accuracy and efficiency of the face recognition system by utilizing the advantages of the Random forest and the PCA algorithms.


It is a great pleasure to involve in this research with the co-authors. Recently Covid-19 pandemic limits the usability of most of the face recognition system with poor True Acceptance Rate. To overcome this problem, a robust masked face recognition system is needed to solve those challenges.

Siew-Chin Chong
Multimedia University

Read the Original

This page is a summary of: Masked face recognition with principal random forest convolutional neural network (PRFCNN), Journal of Intelligent & Fuzzy Systems, November 2022, IOS Press, DOI: 10.3233/jifs-220667.
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