An Improved Face Mask-aware Recognition System Based on Deep Learning

Chih Yang Lin, Amornthep Rojanasarit, Tipajin Thaipisutikul, Chi Wen Lung, Fityanul Akhyar

研究成果: 書貢獻/報告類型會議論文篇章同行評審


Face mask detection and recognition have been incorporated into many applications in daily life, especially during the current COVID-19 pandemic. To mitigate the spread of coronavirus, wearing face masks has become commonplace. However, traditional face detection and recognition systems utilize main facial features such as the mouth, nose, and eyes to determine a person’s identity. Masks make facial detection and recognition tasks more challenging since certain parts of the face are concealed. Yet, how to improve the performance of existing systems with a face mask overlaid on the original face input images remains an open area of inquiry. In this study, we propose an improved face mask-aware recognition system named ‘MAR’ based on deep learning, which can tackle challenges in face mask detection and recognition. MAR consists of five main modules to handle various kinds of input images. We re-train the CenterNet model with our augmented face mask inputs to perform face mask detection and propose four variations on face mask recognition models based on the pre-trained ArcFace to handle facial recognition. Finally, we demonstrate the effectiveness of our proposed models on the VGGFACE2 dataset and achieve a high accuracy score on both detection and recognition tasks.

主出版物標題Data Science and Security - Proceedings of IDSCS 2022
編輯Samiksha Shukla, Xiao-Zhi Gao, Joseph Varghese Kureethara, Durgesh Mishra
發行者Springer Science and Business Media Deutschland GmbH
出版狀態已出版 - 2022
事件International Conference on Data Science, Computation, and Security, IDSCS 2022 - Lavasa, India
持續時間: 11 2月 202212 2月 2022


名字Lecture Notes in Networks and Systems


???event.eventtypes.event.conference???International Conference on Data Science, Computation, and Security, IDSCS 2022


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