영상분할 기법을 이용한 차량 번호판 인식 구현에 관한 연구

• 영문명: A Study on the Implementation of the Vehicle Licence Plate Recognition System by Image Segmentation Methods
• 발행기관: 한국산업기술융합학회(구. 산업기술교육훈련학회)
• 저자명: 황선기(Seon Ki Hwang) 김태우(Tae Woo Kim) 강용석(Yong Seok Kang)
• 간행물 정보: 『산업기술연구논문지』산업기술연구 제22권 4호, 13~20쪽, 전체 8쪽
• 주제분류: 공학 > 공학일반
• 파일형태: PDF
• 발행일자: 2017.12.30

영문 초록

This paper presents novel methods of recognizing license plates of passing vehicles outdoors. In particular, the proposed method is much robust for inclined plates caused by the changes of camera placement. To ac-quire fine images of quickly passing vehicles under a wide range of illumination conditions, we developed a sensing system having superb characteristics. This study a vehicle license plate recognition system by Image Segmentation Methods, which works on license plate image at the another time. We propose a system that can obtain a clearer and wider dynamic image range by combining a pair of images simultaneously captured by two CCD cameras. As the experimental results obtained from the existing system environment recognition rate of about 86.5%, and the recognition rate of the proposed system is 93.5%. Approximately 7% of the recognition rate can be seen to be rising.

목차

ABSTRACT

Ⅰ. 서론

Ⅱ. 실험

Ⅲ. 실험결과 및 분석

Ⅳ. 결론

참고문헌

키워드

번호판인식 영상분할기법 Recognizing License Plates Image Segmentation Methods