A proposed Iris Recognition Model for Authentication in Mobile Exams

Abstract

Mobile learning is an extended version of e-learning. The revolution of handheld devices had encouraged design courses to be compatible with different mobiles versions, brands and platforms. Mobile exams need more attention to strengthen mobile learning certificates. A major issue with mobile exam is student authentication and identification before and during exam session. With no presence of proctor, more techniques are available to ensure student identification. In this paper, we proposed a model that uses a traditional username and password in addition to the biometric iris recognition technique to verify student identity before and during mobile exams.