Online Attendance using Facial Recognition

Abstract

In the modern world, education system is advancing day-by-day due to the introduction of concept of "smart classroom". However, the attendance system still remains primitive, where the teacher/lecturer calls the name of students to mark their attendance. The automatic attendance management will replace the manual method, which takes a lot of time, that is, it is very time consuming and is difficult to maintain. There are many biometric processes, among which face recognition is the best method. In this project, we are going to describe the attendance without human interference. In this method the camera is fixed within the classroom and it'll capture the image, the faces are detected and then it's recognized with the database and finally the attendance is marked. It also proposes a single image-based face liveness detection method for discriminating 2-D paper masks from the live faces. Still images taken from live faces and 2-D paper masks were found with the differences in terms of shape and detailedness. In order to effectively employ such differences, we exploit frequency and texture information using various algorithms. We will be trying to improve the accuracy to a great extent and thus generate the final attendance report after updation in the database.