Face Recognition Attendance System based on Real-Time Video

This is the authors' abstract. We don't add key points for this paper.

A person's face becomes their identification. Since the invention of computer vision applications, the strategies for exploiting this physical property have changed dramatically. c Every school, and collage library keeps track of attendance. Traditional approach for attendance is professor calls student name & record attendance. It takes some time to record attendance. Suppose duration of class of one subject is about 50 minutes & to record attendance takes 5 to 10 minutes. It is a waste of time for every lecture. To eliminate these losses, we're going to apply an automated picture processing procedure. Face detection and recognition systems are used in this unique technique. Face detection distinguishes face from non-faces, which is necessary for correct attendance. The alternative method is to use face recognition to track a student's attendance. By the proposed method ( HAAR, AdaBoost and Deep Neural Network) we are getting an accuracy of 99.41 percent on the automatic face detection system.