Real-time mask detection and face recognition using eigenfaces and local binary pattern histogram for attendance system
نویسندگان
چکیده
Face recognition is gaining popularity as one of the biometrics methods for an attendance system in organization. Due to pandemic, common face needs be modified meet current needs, whereby facemask detection necessary. The main objective this paper investigate and develop a real-time based on scenarios. proposed framework consists detection, mask recognition, report generation modules. performed using haar cascade classifier. Two techniques were investigated, eigenfaces local binary pattern histogram. initial experimental results implementation at Kuching Community College show effectiveness system. For future work, approach that able perform masked will investigated.
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ژورنال
عنوان ژورنال: Bulletin of Electrical Engineering and Informatics
سال: 2021
ISSN: ['2302-9285']
DOI: https://doi.org/10.11591/eei.v10i2.2859