An Image Processing Based Optical Mark Recognition with the Help of Scanner

Research Area: Volume 7,Issue 2, March 2018 Year: 2018
Type of Publication: Article Keywords: Image Processing, Key Points Detection, Optical Mark Reader and Multiple Choice Questions
  • Ismael Amara BELAG
  • Yasemin GULTEPE
  • Tark Melude ELMALTI
Journal: IJEIR Volume: 7
Number: 2 Pages: 108-112
Month: March
ISSN: 2277-5668
The Optical Mark Recognition (OMR) is very popular with schools and universities for the reading of multiple choice questions. In this article, we presented an automatic system used for correction the Multiple Choice Questions (MCQ) based on digital image processing. This is a new and fast method that allows hundreds or thousands of OMR answers sheets to be processed. The method used is based on creation of template answer sheet and key points detection algorithm. The proposed method automatically computes the number of correct answers using vertical and horizontal projections and thresholds techniques. The proposed method is able to detect more than one or no selected choice. In this study we have tested more than 100 exam papers. As a result of the study; 100% accuracy was achieved on five different formats of MCQ papers and process time for each test is less than one second. In addition, the performance of the proposed system will be compared with various academic studies.

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