An Intelligent Alarm Based Visual Eye Tracking Algorithm for Cheating Free Examination System
Автор: Ali Javed, Zeeshan Aslam
Журнал: International Journal of Intelligent Systems and Applications(IJISA) @ijisa
Статья в выпуске: 10 vol.5, 2013 года.
Бесплатный доступ
A modern and well established education system is a backbone of any nation’s success. High reputation in international platform can only be achieved when best and deserving students represent your country and earn reputation on their ability and dedication. For this purpose an education system must be a cheating free system so that non-deserving students should not get the positions which they don’t deserve. This research aims to develop such a system which can be used in exam halls to avoid the cheating based on student’s eye movement. The algorithm detects the human from the scene followed by the face detection and recognition. The next phase involves eye detection followed by eye's movement tracking to analyze and decide about whether the student is involved in cheating or not. The system can be used on a large scale in educational institutions as well as in corporate sector wherever exams have been conducted.
Eye's Detection, Eye Movement Tracking Face Detection, Face Recognition, Segmentation
Короткий адрес: https://sciup.org/15010482
IDR: 15010482
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