Friday, December 17, 2021 - 10:00 to 11:30
SCHOOL OF COMPUTER SCIENCE
The School of Computer Science is pleased to present…
MSc Thesis Proposal by: Rahul Bharadwaj Raveendran
Date: Friday December 17th, 2021
Time: 10:00 AM – 11:30 AM
Meeting URL: https://us06web.zoom.us/j/88250868510?from=addon
Passcode: If interested in attending this event, contact the Graduate Secretary at csgradinfo@uwindsor.ca with sufficient notice before the event to obtain the passcode
Abstract:
Optical Mark Recognition (OMR) refers to the technique of electronically extracting data from the marked fields on the printed forms. Stemming from a hardware solution with dedicated equipment, it has gradually been replaced with emerging software technology and portable scanners. In particular, the webcam-based software solutions to OMR turn out to be more attractive due to their high affordability and flexibility. In this thesis, we propose an efficient and effective webcam-based OMR solution for auto-grading student assessment. The efficiency is achieved by maximally dropping the requirements on the operations of the end-users. The effectiveness is understood together with the handling of the technical difficulties originated from the factors like the distance between the grading sheet and the webcam, the rotation and orientation of the grading sheet, the brightness of the environment, etc. Various present OpenCV image processing techniques are combined to accurately identify the region of interest and the reference points on the grading sheet. This is followed by a specific algorithm to detect the orientation of the grading sheet. The proposed solution tries to maximize the acceptable operations and aims at providing 100% accurate grading among those accepted ones. The experiments will be performed to compare the proposed method with the existing ones in terms of operational time and accuracy.
Keywords: Image processing, Optical Mark Recognition, OpenCV
MSc Thesis Committee:
Internal Reader: Dr. Ikjot Saini
External Reader: Dr. Balakumar Balasingam
Advisor: Dr. Jessica Chen
MSc Thesis Proposal Announcement
5113 Lambton Tower 401 Sunset Ave. Windsor ON, N9B 3P4 (519) 253-3000 Ext. 3716 csgradinfo@uwindsor.ca (working remotely)