An Automated student attendance system based on Face Recognition

Abstract

As results of the challenges of the manual method of taking student attendance in colleges and universities, an automated attendance system requires to be applied. The challenges consist of effort in keeping the attendance list over a long period of time, unnecessary time waste during calling and checking student’s name, students forgetting to sign the attendance list, lecturers forgetting the attendance list in the classroom, students passing illegally for an absentee among others. There are many automatic methods available for this purpose i.e. a biometric attendance system. All these methods, however, also waste time because students have to make a queue to touch their thumb on a scanning device. In this paper, we propose an efficient method that automatically marks the attendance without human interference. This attending is recorded by using a camera attached in front of classroom that is continuously capturing images of students, detect the faces in images and compare the detected faces with the database and mark the appearance