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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 10, ISSUE 7, JULY 2021

AUTOMATIC STUDENT ATTENDANCE SYSTEM USING FACE RECOGNITION

Asst Prof. Shivaleela S Tejas Kumar P S

DOI: 10.17148/IJARCCE.2021.10763
Abstract- Nowadays Educational institutions are more concerned about their student’s attendance. This is mainly due to students overall academic performance may be affected by their attendance count and irregularities to the class. Hence, there is a requirement of computer-based student attendance management system which will ease the manpower in maintaining attendance record automatically using facial recognition through Image Processing using Eigen face recognition technique. The application includes face identification, which saves time and eliminates chances of proxy attendance because of the facial recognition system. Hence, this system can be implemented in a field where attendance plays an important role. The system uses Principal Component Analysis algorithm which is based on Eigen face approach. This algorithm compares the test image and training image and determines students who are present and absent.

Keywords: Face Recognition, Image Processing, Eigen face, Principle Component Analysis

How to Cite:

[1] Asst Prof. Shivaleela S Tejas Kumar P S, “AUTOMATIC STUDENT ATTENDANCE SYSTEM USING FACE RECOGNITION,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2021.10763