Optical Mark Recognition (OMR) is a technology for effectively extracting data from filled-in fields or bubbles on printed forms. The current systems available for OMR are very expensive and they detect only a marking scheme. Moreover, the image processing techniques used for scanning the OMR sheet also consumes a lot of time and is quite complex, as it includes various restrictions related to the positioning of the sheet. In this paper, a solution to this problem is proposed, where an OMR system is developed using a scanner or a multifunctional printer as an input. The quality of the OMR sheet used in this system is low cost and easily available to any educational institution. The image processing techniques are implemented with the help of PyCharm IDE that not only helps to detect various marking schemes like bubble shape mark and tick mark but also verifies the answers in the sheet and displays the total marks obtained by the student, in a more efficient manner. In order to make the system user-friendly, the GUI of the system is improved and personalized by integrating an online website with the OMR software that displays the results of individual student.