@inproceedings{f52d4332f8ad456eb3fe00363736ccb5,
title = "OMR Card Scoring Method Using Template Matching",
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.",
keywords = "extract answers, image warping, OMR card, template matching",
author = "Kim, {Da Eun} and Byeon, {Eun Seo} and Won, {Gyu Jin} and Lee, {Si Eun} and Jung, {Jin Woo}",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems, SCIS and ISIS 2022 ; Conference date: 29-11-2022 Through 02-12-2022",
year = "2022",
doi = "10.1109/SCISISIS55246.2022.10002065",
language = "English",
series = "2022 Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems, SCIS and ISIS 2022",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2022 Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems, SCIS and ISIS 2022",
address = "United States",
}