Evaluation System for Multiple-Choice Questions Using Optical Mark Recognition: A Survey

Abstract

performing bulk assessment corrections across various domains and applications can be an expensive and time-consuming task. Optical Mark Recognition (OMR) technology can be used to speed up this process. It is an automated data input method that captures the existence or absence of different marks (filled circles, crosses, and ticks) on printed papers, such as multiple-choice exams. OMR was originally introduced as a dedicated hardware solution and has since evolved into software solutions. However, many of these software solutions lack flexibility, particularly for the end users. This work reviews different papers related to the OMR topic and outlines their key features, datasets, processing time and accuracy. The goal of this review is to highlight areas in OMR that still require further research and development. In conclusion, areas where future research efforts should be directed are identified