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Regular Article

JCR. 2020; 7(10): 2103-2109


DETECTION OF IMPERSONATION IN ONLINE-EXAMINATION

Sheela.S, Vanitha.V, Anne Ramya.T, Sobana.B.

Abstract
The Internet plays a major role in this modern era. As a result various domains are becoming digitalized. The education sector has improved tremendously over the past few decades. Hence e-learning is widely used by the students to enhance their knowledge due to its scalability and availability. And nowadays many examinations are being conducted through online as it saves cost and the evaluation process becomes easy. The authentication of the examinee is the fundamental need in conduction of online exam. The main goal of this paper is to have a fool-proof automated system that detects impersonation. In general the impersonation detection is performed by fingerprint recognition, iris recognition, voice recognition etc., to provide best authentication automated face detection and recognition is utilized. Hence in this paper the task of continuous monitoring of an examinee is performed by FLD based face recognition technique along with the periodic timer.

Key words: Online examination, face detection, white balancing, FLD face recognition



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