Design And Analysis Of Automated Optical Mark Recognition (OMR) System Using Image Processing Technique

Mohamad Rosli, Zatil Aqmar (2018) Design And Analysis Of Automated Optical Mark Recognition (OMR) System Using Image Processing Technique. Project Report. UTeM, Melaka, Malaysia. (Submitted)

Text (24 Pages) Design And Analysis Of Automated Optical Mark Recognition (OMR) System Using Image Processing Technique.pdf - Submitted Version Download (342kB)

Abstract

Optical Mark Recognition (OMR) technology has changed much in recent years. There are many way to test student knowledge in education such as objective, subjective and essays. Now the main component is the OMR software. It was proposed to be a replacement for the costly OMR machine. It also was proposed as the examiners in Malaysia still choose manual way to mark objective paper instead of using automated marking but the thing is, manual marking is inefficiency, inaccurate and time consuming since examiners have to mark first before manually key in the marks in Excel spreadsheet. Therefore, the objective of this project is to design an OMR system to mark and transfer the data to Excel spreadsheet. This OMR system is built by using MATLAB R2017a software. In this project, the position of the marked bubbles which already marked by the students will be identified and automatically be classified. Once the classification process is complete whether the students are pass or fail, the converted data will be saved and export into Microsoft Excel spreadsheet. The accuracy of this system also is calculated to be compared with other researchers’ OMR system. Finally, the system can be concluded that it is able to contribute as data extraction system for educational purpose.

Actions (login required)

View Item