Web-based university classroom attendance system based on deep learning face recognition

• Main Authors: Ismail, Nor Azman, Chai, Cheah Wen, Samma, Hussein, Salam, Md. Sah, Hasan, Layla, Abdul Wahab, Nur Haliza, Mohamed, Farhan, Wong, Yee Leng, Rohani, Mohd. Foad
• Format: Article
• Language: English
• Published: Korean Society for Internet Information 2022
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.utm.my/id/eprint/102738/1/NorAzmanIsmail2022_WebBasedUniversityClassroomAttendance.pdf; http://eprints.utm.my/id/eprint/102738/; http://dx.doi.org/10.3837/tiis.2022.02.008

Nowadays, many attendance applications utilise biometric techniques such as the face, fingerprint, and iris recognition. Biometrics has become ubiquitous in many sectors. Due to the advancement of deep learning algorithms, the accuracy rate of biometric techniques has been improved tremendously. Thi...