Abstract:

Many universities have introduced e-Learning systems to allow learners to take lecture courses remotely, which has led to thousands of lectures now being available online.On an e-Learning system, spoofing may occur if the teacher is unable to see the learners during lectures, which in turn creates certain problems. The lectures and associated materials are intellectual property that must be protected by preventing spoofing. Thus, it is necessary to authenticate learner identity during an e-Learning session.

For preventing plagiarism of e-content and protecting intellectual property rights, we discuss a methodology of biometrics authentication using facial images. We implemented facial authentication to three types of e-Learning: text reading, video watching and exam type. The study shows the difference of learning behavior in each type such as text position on a display, occluding face during the exam and more. We analyzed the facial images on each behavior, and examined the method of control these behaviors to introduce the facial authentication.

Keywords:

e-learning, Biometrics, Facial images.