CHEATING RECOGNITION IN PAPER EXAMS USING CV

Abstract

With the shift from exams to electronic examinations, to pen
and paper (paper exams), concerns were raised about whether this would make
cheating easier. Cheating and academic dishonesty have always been disturbing
practice in an academic setting, it kills the creativity of a student. Roughly
speaking all teachers meet a high rate of academic dishonesty among their
students. This article explores how teachers and students perceive differences in
the ease of cheating during written exams, especially paper exams. Nowadays
we have control systems that detect cheating and abnormal behaviors during
exams. Despite early controls determining cheating during the checking of exam
papers is also a great idea. Manually checking each work will take up most of
the time and energy, which is also difficult to identify plagiarism. That’s why
the paper gives using Computer Vision to optimize checking paper exams and
detect cheating levels among students.