Attendance Marking System Using Face Recognition

Marking of attendance in a classroom during a lecture is considered as a time consuming task. Large
number of students present in the lecture hall leads to the possibility of proxy attendance. It is
extremely difficult task for lecturers to manually identify the students who skip their lectures on regular
basis. Student’s attendance Management through the conventional methods had been a challenge in
the recent years. There is a need of efficient and automatic techniques of marking attendance which
leads to growing challenge in the area of face recognition.
Even though standard biometrics are widely used for automatic attendance marking, still it faces lot of
problems. However, most of the previously proposed techniques lack the element of reliability. The
main focus of our project is to analyse and evaluate the recent attendance marking techniques using
face recognition methods. Our proposed system is a conceptual model for automated attendance
system through facial recognition and it uses an integral validation process which enhances the
reliability of model