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

• 영문명: Vehicle License Plate Text Recognition Algorithm Using Object Detection and Handwritten Hangul Recognition Algorithm
• 발행기관: 한국IT서비스학회
• 저자명: 나민원(Min Won Na) 최하나(Ha Na Choi) 박윤영(Yun Young Park)
• 간행물 정보: 『한국IT서비스학회지』한국IT서비스학회지 제20권 제6호, 97~105쪽, 전체 9쪽
• 주제분류: 경제경영 > 경영학
• 파일형태: PDF
• 발행일자: 2021.12.31

영문 초록

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.

목차

Ⅰ. 서론

Ⅱ. 관련 연구

Ⅲ. 알고리즘 구성 및 학습

Ⅳ. 실험 결과

Ⅴ. 결 론

참고문헌

키워드

Vehicle License Plate Recognition(VLPR) Optical Character Recognition(OCR) Object Detection Faster R-CNN Handwritten Hangul Recognition(HHR)