DOIONLINE 
DOIONLINE Publish In |
International Journal of Advance Computational Engineering and Networking (IJACEN)-IJACEN |
 Journal Home Volume Issue |
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Issue |
Volume-8,Issue-7 ( Jul, 2020 ) | |||||||||
Paper Title |
A Review Paper on Student Attendance System Using Face Recognition | |||||||||
Author Name |
Samridhi Dev, Tushar Patnaik | |||||||||
Affilition |
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Pages |
47-51 | |||||||||
Abstract |
Abstract - Attendance is the mandatory part of any school or institution. In the modern world, classrooms are equipped with smart devices but still the traditional approach of taking attendance through pen and paper is in practice. Biometric technology came into existence but it still has many drawbacks like wastage of time and efforts due to this performance of institutions have been degraded. The proposed system aims to provide a robust application for taking student attendance through surveillance camera using convolutional neural networks. Real-time face recognition is a challenging task. Many algorithms have matured into the science of face recognition. Keywords - PCA, HOG, VIOLA-JONES, HAAR Classifiers, CNN. | |||||||||
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