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도로 노면 문자 도색 작업의 자동화를 위한 연구

A Study on Automation about Painting the Letters to Road Surface

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주제분류컴퓨터학

초록

In this study, the researchers attempted to automate the process of painting the characters on the road surface, which is currently done by manual labor, by using the information and communication technology. Here are the descriptions of how we put in our efforts to achieve such a goal. First, we familiarized ourselves with the current regulations about painting letters or characters on the road, with reference to Road Mark Installation Management Manual of the National Police Agency. Regarding the graphemes, we adopted a new one using connection components, in Gothic print characters which was within the range of acceptance according to the aforementioned manual. We also made it possible for the automated program to recognize the graphemes by means of the feature dots of the isolated dots, end dots, 2-line gathering dots, and gathering dots of 3 lines or more. Regarding the database, we built graphemes database for plotting information, classified the characters by means of the arrangement information of the graphemes and the layers that the graphemes form within the characters, and last but not least, made the character shape information database for character plotting by using such data. We measured the layers and the arrangement information of the graphemes consisting the characters by using the information of: 1) the information of the position of the center of gravity, and 2) the information of the graphemes that was acquired through vertical exploration from the center of gravity in each grapheme. We identified and compared the group to which each character of the database belonged, and recognized the characters through the use of the information gathered using this method. We analyzed the input characters using the aforementioned analysis method and database, and then converted into plotting information. It was shown that the plotting was performed after the correction.

Abstract

In this study, the researchers attempted to automate the process of painting the characters on the road surface, which is currently done by manual labor, by using the information and communication technology. Here are the descriptions of how we put in our efforts to achieve such a goal. First, we familiarized ourselves with the current regulations about painting letters or characters on the road, with reference to Road Mark Installation Management Manual of the National Police Agency. Regarding the graphemes, we adopted a new one using connection components, in Gothic print characters which was within the range of acceptance according to the aforementioned manual. We also made it possible for the automated program to recognize the graphemes by means of the feature dots of the isolated dots, end dots, 2-line gathering dots, and gathering dots of 3 lines or more. Regarding the database, we built graphemes database for plotting information, classified the characters by means of the arrangement information of the graphemes and the layers that the graphemes form within the characters, and last but not least, made the character shape information database for character plotting by using such data. We measured the layers and the arrangement information of the graphemes consisting the characters by using the information of: 1) the information of the position of the center of gravity, and 2) the information of the graphemes that was acquired through vertical exploration from the center of gravity in each grapheme. We identified and compared the group to which each character of the database belonged, and recognized the characters through the use of the information gathered using this method. We analyzed the input characters using the aforementioned analysis method and database, and then converted into plotting information. It was shown that the plotting was performed after the correction.

참고문헌 (12)

  1. Kyong-Ho Lee, "Study on Automation about Painting the Letters to Road Surface", Proceeding of Korea Society of Computer Information(Summer), 24(1), pp.113~116 (2016)
  2. Kil-Taek Lim, "Reestimation of Recognition Result of MLP Classifier for Machine Printed Hangul - Feasibility Study on Softmax Method", Journal of Information & Electronic Technology, 6, pp.93~105 (2007)
  3. 林吉澤, "문자형식 분류 기반의 인쇄체 문자인식에 관한 연구", 전자공학회논문지 - CI, 40(9), pp.26~39 (2003), 대한전자공학회
  4. 임길택, "우편물 자동구분기의 구분율 향상을 위한 문자인식기의 구현 방법", 한국산업정보학회논문지, 12(4), pp.15~24 (2007), 한국산업정보학회
  5. 이득용, "웨이브렛 특징과 순위 기반 인식을 이용한 한글 문서 영상 검색 시스템", 한국콘텐츠학회 논문지, 5(2), pp.229~242 (2005), 한국콘텐츠학회
  6. 이경호, "한국어 인쇄체 문자 인식을 위한 연결 성분을 이용한 자소와 자소 인식에 관한 연구", 한국컴퓨터정보학회논문지, 21(9), pp.27~36 (2016), 한국컴퓨터정보학회
  7. A. A. Gooch, "Color2gray: Salience-preserving color removal", ACM Transactions on Graphics, 24(3), pp.634~639 (2005)[DOI]
  8. 오현아, "회전 알고리즘을 이용한 자동차 번호판 문자 인식률 향상 및 문자 보안 강화", 보안공학연구논문지, 13(2), pp.83~90 (2016), 보안공학연구지원센터[DOI]
  9. 진문용, "적응 휴리스틱 분할 알고리즘을 이용한 실시간 차량 번호판 인식 시스템", 정보처리학회 논문지, 3(9), pp.361~368 (2014), 한국정보처리학회[DOI]
  10. Kang-San Kim, "Suggestion of Enhanced Korean Character Recognition Technique Using Google Tesseract Open API", Proceeding of Korean Society for Internet Information, 16(1) (2015)
  11. 정규수, "도로표지 영상에서 IRBP 기반의 문자 영역 추출", 한국ITS학회 논문지, 13(6), pp.1~9 (2014), 한국ITS학회[DOI]

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