A Study on Recognition of New Car License Plates Using Morphological Characteristics and a Fuzzy ART Algorithm (형태학적 특징과 퍼지 ART 알고리즘을 이용한 신 차량 번호판 인식에 관한 연구)

Kim, Kwang-baek (김광백); Woo, Young Woon (우영운); Jaehyun Cho (조재현)

A Study on Recognition of New Car License Plates Using Morphological Characteristics and a Fuzzy ART Algorithm

Journal of The Korea Society of Computer and Information
Abbr : JKSCI
2008, 13(6), pp.273-278
Publisher : The Korean Society Of Computer And Information
Research Area : Engineering > Computer Science

Kim, Kwang-baek ¹, Woo, Young Woon ², Jaehyun Cho ³

¹신라대학교
²동의대학교
³부산가톨릭대학교

Accredited

ABSTRACT

Cars attaching new license plates are increasing after introducing the new format of car license plate in Korea. Therefore, a car new license plate recognition system is required for various fields using automatic recognition of car license plates, automatic parking management systems and arrest of criminal or missing vehicles. In this paper, we proposed an intelligent new car license plate recognition method for the various fields. The proposed method is as follows. First of all, an acquired color image from a surveillance camera is converted to a gray level image and binarized by block binarization method. Second, noises of the binarized image removed by morphological characteristics of cars and then license plate area is extracted. Third, individual characters are extracted from the extracted license plate area using Grassfire algorithm. lastly, the extracted characters are learned and recognized by a fuzzy ART algorithm for final car license plate recognition. In the experiment using 100 car images, we could see that the proposed method is efficient.

KEYWORDS

차량 번호판(Car License Plate), 블록 이진화(Block Binarization), Grassfire 알고리즘, 퍼지 ART 알고리즘(Fuzzy ART Algoritm)

KJCKorea
Journal Central

Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65