OMR Card Scoring Method Using Template Matching

Da Eun Kim, Eun Seo Byeon, Gyu Jin Won, Si Eun Lee, Jin Woo Jung

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

In this paper, we propose an algorithm that recognizes and scores the answer by photographing the marked OMR card with a mobile phone for individual use. First, the area of the answer is extracted from the OMR card. After presenting the OMR scoring method of the two methods, the two methods are compared and analyzed. The first algorithm is a method of finding marked and unmarked questions using the marked area as a template, and sorting them to extract the correct answer. The second algorithm is a method of extracting the correct answer by comparing the coordinate values of the marked answer and the answer number for each question using all item numbers and the marked area as a template.

Original languageEnglish
Title of host publication2022 Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems, SCIS and ISIS 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665499248
DOIs
StatePublished - 2022
EventJoint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems, SCIS and ISIS 2022 - Ise, Japan
Duration: 29 Nov 20222 Dec 2022

Publication series

Name2022 Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems, SCIS and ISIS 2022

Conference

ConferenceJoint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems, SCIS and ISIS 2022
Country/TerritoryJapan
CityIse
Period29/11/222/12/22

Keywords

  • extract answers
  • image warping
  • OMR card
  • template matching

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