A Study on Extracting Car License Plate Numbers Using Image Segmentation Patterns

EunGyeom Jang

doi:10.9708/jksci.2018.23.10.087

KJC Korea
Journal Central

Journal of The Korea Society of Computer and Information 2021 KCI Impact Factor : 0.62

Korean | English

pISSN : 1598-849X / eISSN : 2383-9945

http://journal.kci.go.kr/jksci

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A Study on Extracting Car License Plate Numbers Using Image Segmentation Patterns

Journal of The Korea Society of Computer and Information
Abbr : JKSCI
2018, 23(10), pp.87-94
DOI : 10.9708/jksci.2018.23.10.087

Publisher : The Korean Society Of Computer And Information
Research Area : Computer Science

Received : August 1, 2018
Accepted : September 27, 2018
Published : October 31, 2018

EunGyeom Jang ¹

¹장안대학교

ABSTRACT
열림/닫힘 버튼

This paper proposes a method of detecting the license plates of vehicles. The proposed technology applicable to different formats of license plates detects the numbers by standardizing the images at edge points. Specifically, in accordance with the format of each license plate, the technology captures the image in the character segment, and compares it against the sample model to derive their similarity and identify the numbers. Characters with high similarities are used to form a group of candidates and to extract the final characters. Analyzing the experimental results found the similarity of the extracted characters exceeded 90%, whereas that of less identifiable numbers was markedly lower. Still, the accuracy of the extracted characters with the highest similarity was over 80%. The proposed technology is applicable to extracting the character patterns of certain formats in diverse and useful ways.
KEYWORDS
열림/닫힘 버튼

Pattern, License plate, Text extraction, Pattern analysis

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REFERENCES (9)
열림/닫힘 버튼
* 2021년 이후 발행 논문의 참고문헌은 현재 구축 중입니다.

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