Real-time mask detection and face recognition using eigenfaces and local binary pattern histogram for attendance system

Face recognition is gaining popularity as one of the biometrics methods for an attendance system in an organization. Due to the pandemic, the common face recognition system needs to be modified to meet the current needs, whereby facemask detection is necessary. The main objective of this paper is to...

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Main Authors: Mohd Suhairi Md Suhaimin, Mohd Hanafi Ahmad Hijazi, Chung Seng Kheau, Chin Kim On
格式: Article
語言:English
English
出版: Institute of Advanced Engineering and Science (IAES) 2021
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在線閱讀:https://eprints.ums.edu.my/id/eprint/30051/2/Real-time%20mask%20detection%20and%20face%20recognition%20using%20eigenfaces%20and%20local%20binary%20pattern%20histogram%20for%20attendance%20system-Abstract.pdf
https://eprints.ums.edu.my/id/eprint/30051/1/Real-time%20mask%20detection%20and%20face%20recognition%20using%20eigenfaces%20and%20local%20binary%20pattern%20histogram%20for%20attendance%20system.pdf
https://eprints.ums.edu.my/id/eprint/30051/
https://beei.org/index.php/EEI/article/view/2859/2150
https://doi.org/10.11591/eei.v10i2.2859
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