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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| 主要な著者: | , , , |
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| フォーマット: | 論文 |
| 言語: | English English |
| 出版事項: |
Institute of Advanced Engineering and Science (IAES)
2021
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| 主題: | |
| 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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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.pdfhttps://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