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.
Author(s) Details
Ms. G. Thilagavathi,
Department of Information Technology, Coimbatore Institute of Technology, Tamil Nadu, India.
Dr. N. K. Karthikeyan,
Department of Information Technology, Coimbatore Institute of Technology, Tamil Nadu, India.
View Book :- http://bp.bookpi.org/index.php/bpi/catalog/book/189
Author(s) Details
Ms. G. Thilagavathi,
Department of Information Technology, Coimbatore Institute of Technology, Tamil Nadu, India.
Dr. N. K. Karthikeyan,
Department of Information Technology, Coimbatore Institute of Technology, Tamil Nadu, India.
View Book :- http://bp.bookpi.org/index.php/bpi/catalog/book/189
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