Abstract:
Face recognition is a pattern recognition technique and one of the most important biometrics; it
is used in a broad spectrum of applications. Classroom attendance management system is one of
the applications. Traditional attendance system: roll calling, card punching, paper-based
attendance are manual process. It takes a lot of time. To remove hectic of traditional process Real
time attendance management system is a better solution. Without physical interaction of human
being it gives the attendance of present student in the class. Using Kinect camera we took the
video input of the classroom. Detection of human face from the video stream is done by Viola-
Jones algorithm. For recognition purpose we tested Speeded Up Robust Features (SURF),
Histogram of Oriented Gradients (HOG), Linear Binary Pattern (LBP) feature extraction
algorithm and do some comparison between those algorithm for our created dataset. In order to
normalization we used Kernel Based Filtering method. In our work, when a face of a student
matches with the face of dataset it marked the student as present.
