Efficient System for Evaluation of OMR Sheet
Divya Patel, Shaikhji Zaid · International journal of advance research and innovative ideas in education · 2017
Optical mark recognition is the process of capturing human-marked data from document forms such as surveys and tests. This technology provides a solution for reading and processing large number of forms such as questionnaires or multiple-choice tests. It is widely used, especially for grading students in schools. Today we find that lot of competitive exams are being conducted as entrance exams. These exams consist of MCQs. The students have to fill the right box or circle for the appropriate answer to the respective questions. So our aim is to develop Image processing based Optical Mark Recognition sheet scanning system. In this system OMR answer sheet will be scanned and the scanned image of the answer sheet will be given as input to the software system. Using Image processing, we will find the answers marked for each of the questions, total marks and displaying of total marks will be also implemented. The existing systems available for the same purpose are costly, working on particular scanners only and dependent on other parameters such as paper and print quality. The proposed system consists of an ordinary printer, scanner and a computer to perform computation.