Machine Vision Based Examination Evaluation in Thapar University

Abstract

Optical Mark Recognition (OMR) is the automated process of capturing the data which is in the form of bubbles, squares or tick marks. This technique is widely used in various applications like exam evaluation, automated attendance marking, voting and community surveys etc. Though the technique usually makes use of commercially available dedicated OMR scanners, but it has its own drawbacks. The present work proposes to automate the same using machine vision for exam evaluation. A standardized sheet is designed for conducting any type of exam. Special marks on the sheet ensure the sheet is not skewed or folded. Every mark on the sheet is recognized using the unique alphanumeric character assigned to it. This is done by pattern matching in Machine Vision Assistant 7.1 and LabVIEW 7.1. The accuracy attained by the system for 100 samples is 98.45%.