In this paper; we have proposed a real-time Face Recognition System for monitoring attendance of students in class rather than relying on methods that are time-consuming. The proposed implementation comprised of using the Viola-Jones algorithm for detecting the human faces from a web camera and then the detected face is resized to the required size; this resized face is further processed by using a simple Local Binary Patterns Histograms algorithm.Once recognition is done, automatically attendance will be updated in a SQLite database with the required attributes. The paper also shares the rationale for preferring OpenCVimplementation over MATLAB. The database is automatically updated by the developed system so that a remote authenticated user can access the attendance.The implementation also ensures that the attendance results are accessing to a remote authenticated user through the application GUI of attendance system.
SudhaNarang, Kriti Jain, MeghaSaxena, AashnaArora (2018); Comparison of Face Recognition Algorithms Using Opencv for Attendance System;
Int J Sci Res Publ 8(2) (ISSN: 2250-3153). http://www.ijsrp.org/research-paper-0218.php?rp=P747200