학술논문

Impersonation detection in online examinations
Document Type
Conference
Source
2017 IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems (SPICES) Signal Processing, Informatics, Communication and Energy Systems (SPICES), 2017 IEEE International Conference on. :1-5 Aug, 2017
Subject
Communication, Networking and Broadcast Technologies
Fields, Waves and Electromagnetics
Power, Energy and Industry Applications
Signal Processing and Analysis
Fingerprint recognition
Face recognition
Face
Face detection
Servers
Human factors
Impersonation
Online Examination
Face Recognition
Fingerprint Verification
Aadhaar Card
Language
Abstract
In today's world that witnesses an ever-changing scenario in the technical fields, the concept of an “examination” too has changed. From the traditional methods of pen-and-paper and Optical Mark Recognition (OMR), it has evolved into ‘Online Examinations’, which are a lot more flexible, time-saving as well as require much fewer resources. However, they have certain drawbacks too. While the uncertainties involved in the working of the electronic equipment and ‘server break-down’ do affect the examination, the developments in technology have helped overcome these. However, the most important problem faced by online examinations is the authenticity of the student who is taking it. Impersonation, as it is called, is in fact, due to the negligence (or in certain cases due to the cooperation) of the human factors that are present at the examination centre. In this paper, the aim is to eliminate these human factors, to ensure that impersonation, if any, can be easily detected, and the impersonator is not allowed to take the examination. For this purpose, two-step biometric verification of the candidate is done, one of which extends throughout the duration of the examination. In this manner, impersonation can be avoided.