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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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書誌詳細
主要な著者:	Mohd Suhairi Md Suhaimin, Mohd Hanafi Ahmad Hijazi, Chung Seng Kheau, Chin Kim On
フォーマット:	論文
言語:	English English
出版事項:	Institute of Advanced Engineering and Science (IAES) 2021
主題:	LB Theory and practice of education TA Engineering (General). Civil engineering (General)
オンライン･アクセス:	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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