Design Method for Recognition of Filled Bubbles in OMR Sheets and Grading It Using Matlab

Abstract

Optical Mark Recognition sheets also known as OMR sheets use different form of paper that has index points on its four corners. OMR sheets are used in the examination where numbers of candidates are large and manual checking is waste of time and resources. OMR sheets are scanned and results are displayed within no time. There is no need to check each and every answer. Apart from answer sheets, OMR forms are also available. These forms are used for collecting data and are available in the form of application forms, admission forms, ballot papers, attendance sheets, questionnaires, etc. Optical mark recognition (also called optical mark reading and OMR) is the process of capturing human-marked data from document forms such as surveys and tests. Our algorithm is mainly divided into two parts. The first part is to apply image registration techniques to align a taken image with the template image and compute the transformation matrix. The second part is to apply the transformation matrix to center pixels of all answer circles and count the number of black pixels around the region to figure out whether the circle is filled or not. We envisage that our application would be able to do the following