Webcam based real-time robust optical mark recognition

Abstract

This study proposes a robust, low cost, real-time optical mark recognition (OMR) system that uses a webcam and a small OMR form to read hand-marked data from plain paper. The system is designed to read data from any user-designed OMR form which can be customized for any purpose. It was implemented and tested on examination papers to read students’ numbers and their examination results automatically. Results and numbers on 87 out of 88 papers were correctly identified. It was tested under different lighting conditions and with different mark colors. The results indicate that the system is robust and reliable.