Journal of Information Technology Services (한국IT서비스학회지)

Korea Society of IT Services (한국IT서비스학회)
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Vehicle License Plate Text Recognition Algorithm Using Object Detection and Handwritten Hangul Recognition Algorithm

객체 검출과 한글 손글씨 인식 알고리즘을 이용한 차량 번호판 문자 추출 알고리즘

  • 나민원 (국가수리과학연구소 산업수학혁신팀(광교)) ;
  • 최하나 (국가수리과학연구소 산업수학혁신팀(광교)) ;
  • 박윤영 (국가수리과학연구소 산업수학혁신팀(광교))
  • Received : 2021.09.03
  • Accepted : 2021.12.17
  • Published : 2021.12.31
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Abstract

Recently, with the development of IT technology, unmanned systems are being introduced in many industrial fields, and one of the most important factors for introducing unmanned systems in the automobile field is vehicle licence plate recognition(VLPR). The existing VLPR algorithms are configured to use image processing for a specific type of license plate to divide individual areas of a character within the plate to recognize each character. However, as the number of Korean vehicle license plates increases, the law is amended, there are old-fashioned license plates, new license plates, and different types of plates are used for each type of vehicle. Therefore, it is necessary to update the VLPR system every time, which incurs costs. In this paper, we use an object detection algorithm to detect character regardless of the format of the vehicle license plate, and apply a handwritten Hangul recognition(HHR) algorithm to enhance the recognition accuracy of a single Hangul character, which is called a Hangul unit. Since Hangul unit is recognized by combining initial consonant, medial vowel and final consonant, so it is possible to use other Hangul units in addition to the 40 Hangul units used for the Korean vehicle license plate.

Keywords

Acknowledgement

이 논문은 2021년도 정부(과학기술정보통신부)의 재원으로 국가수리과학연구소의 지원을 받아 수행된 연구임(NIMS-B21810000)

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