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Developments of Parking Control System Using Color Information and Fuzzy C-means Algorithm
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Kwangbaek Kim (College of Computer Engineering, Silla University)
Hongwon Yun (College of Computer Information Technology, Silla University)
Younguhg Lho (College of Computer Engineering, Silla University)
Vol. 8, No. 1, Page: 87 ~ 101
Keywords
Color Information, Fuzzy c-means, Car Plate recognition
Abstract
In this paper, we proposes the car plate recognition and describe the parking control system using the proposed car plate recognition algorithm. The car plate recognition system using color information and fuzzy c-means algorithm consists of the extraction part of a car plate from a car image and the recognition part of characters in the extracted car plate. This paper eliminates green noise from car image using the mode smoothing and extract plate region using green and white information of RGB color. The codes of extracted plate region is extracted by histogram based approach method and is recognized by fuzzy c-means algorithm. For experimental, we tested 80 car images. We shows that the proposed extraction method is better than that from the color information of RGB and HSI, respectively. So, we can know that the proposed car plate recognition method using fuzzy c-means algorithm was very efficient. We develop the parking control system using the proposed car plate recognition method, which showed performance improvement by the experimental results.
Show/Hide Detailed Information in Korean
컬러 정보와 퍼지 C-means 알고리즘을 이용한 주차관리시스템 개발
김광백 (신라대학교 컴퓨터공학과)
윤홍원 (신라대학교 컴퓨터정보공학부)
노영욱 (신라대학교 컴퓨터교육과)
Abstract
본 논문에서는 컬러 정보와 퍼지 c-means 알고리즘을 이용한 차량 번호판 인식 방법을 제안하고 차량 번호판 인식을 이용한 주차관리시스템 개발에 대해서 기술한다 컬러 정보와 퍼지 c-means알고리즘을 이용한 차량 번호판 인식 기술은 차량의 영상에서 번호판을 추출하는 부분과 추출한 번호판 영역에서 문자를 인식하는 부분으로 구성된다 본 논문에서는 최빈수 평활화를 이용하여 차량 영상에서 녹색 잡음을 제거하고 RGB컬러에서 녹색 정보와 횐색 정보를 이용하여 번호판 영역을 추출하였다. 추출된 번호판 영역의 코드들은 히스토그램 방법을 이용하여 추출하였고 FCM(Fuzzy c-means) 알고리즘을 이용하여 차량 번호판을 인식하였다. 80개의 실제 차량 영상을 대상으로 실험한 결과는 제안된 번호판 영역 추출 방법이 기존의 RGB정보를 이용한 방법과 HSI를 이용한 방법보다 추출율이 개선되었다 그리고 FCM 알고리즘을 이용한 차량 번호판 인식이 효율적인 것을 확인하였다. 실험을 통하여 성능 향상을 보인 제안된 차량 번호판 방법을 이용하여 주차관리시스템을 개발하였다.
Cite this article
JIIS Style
Kim, K., H. Yun, and Y. Lho, "Developments of Parking Control System Using Color Information and Fuzzy C-means Algorithm", Journal of Intelligence and Information Systems, Vol. 8, No. 1 (2002), 87~101.

IEEE Style
Kwangbaek Kim, Hongwon Yun, and Younguhg Lho, "Developments of Parking Control System Using Color Information and Fuzzy C-means Algorithm", Journal of Intelligence and Information Systems, vol. 8, no. 1, pp. 87~101, 2002.

ACM Style
Kim, K., Yun, H., and Lho, Y., 2002. Developments of Parking Control System Using Color Information and Fuzzy C-means Algorithm. Journal of Intelligence and Information Systems. 8, 1, 87--101.
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@article{Kim:JIIS:2002:130,
author = {Kim, Kwangbaek and Yun, Hongwon and Lho, Younguhg},
title = {Developments of Parking Control System Using Color Information and Fuzzy C-means Algorithm},
journal = {Journal of Intelligence and Information Systems},
issue_date = {June 2002},
volume = {8},
number = {1},
month = Jun,
year = {2002},
issn = {2288-4866},
pages = {87--101},
url = {},
doi = {},
publisher = {Korea Intelligent Information System Society},
address = {Seoul, Republic of Korea},
keywords = { Color Information, Fuzzy c-means and Car Plate recognition },
}
%0 Journal Article
%1 130
%A Kwangbaek Kim
%A Hongwon Yun
%A Younguhg Lho
%T Developments of Parking Control System Using Color Information and Fuzzy C-means Algorithm
%J Journal of Intelligence and Information Systems
%@ 2288-4866
%V 8
%N 1
%P 87-101
%D 2002
%R
%I Korea Intelligent Information System Society