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OMR Card Scoring Method Using Template Matching

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dc.contributor.authorKim, Da-Eun-
dc.contributor.authorByeon, Eun-Seo-
dc.contributor.authorWon, Gyu-Jin-
dc.contributor.authorLee, Si-Eun-
dc.contributor.authorJung, Jin-Woo-
dc.date.accessioned2024-08-08T11:31:29Z-
dc.date.available2024-08-08T11:31:29Z-
dc.date.issued2022-
dc.identifier.urihttps://scholarworks.dongguk.edu/handle/sw.dongguk/21755-
dc.description.abstractIn 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.-
dc.language영어-
dc.language.isoENG-
dc.publisherIEEE-
dc.titleOMR Card Scoring Method Using Template Matching-
dc.typeArticle-
dc.publisher.location미국-
dc.identifier.doi10.1109/SCISISIS55246.2022.10002065-
dc.identifier.scopusid2-s2.0-85146648290-
dc.identifier.wosid000932791900151-
dc.identifier.bibliographicCitation2022 Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems (SCIS&ISIS)-
dc.citation.title2022 Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems (SCIS&ISIS)-
dc.type.docTypeProceedings Paper-
dc.description.isOpenAccessY-
dc.description.journalRegisteredClassforeign-
dc.relation.journalResearchAreaAutomation & Control Systems-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalResearchAreaRobotics-
dc.relation.journalWebOfScienceCategoryAutomation & Control Systems-
dc.relation.journalWebOfScienceCategoryComputer Science, Artificial Intelligence-
dc.relation.journalWebOfScienceCategoryRobotics-
dc.subject.keywordAuthorOMR card-
dc.subject.keywordAuthorimage warping-
dc.subject.keywordAuthortemplate matching-
dc.subject.keywordAuthorextract answers-
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