A Study on Car License Plate Extraction using ACL Algorithm 


Vol. 9,  No. 6, pp. 1113-1118, Dec.  2002
10.3745/KIPSTD.2002.9.6.1113


PDF
  Abstract

In recognition system of the car license plate, the most important is to extract the image of the license plate from a car image. In this paper, we use ACL (Adaptive Color Luminance) algorithm to extract the license plate image from a car image. The ACL algorithm that uses color and luminance information of a car image is used to extract the image of the license plate. In this paper, color, luminance and other related information of a car image are used to extract the image of the license plate from that of a car. In this reason, we call it the ACL algorithm. The ACL algorithm uses color, luminance information and other related information of a license plate. These informations are avaliable to exact the image of the license plate. The rate of extracting the image of the license plate from a car is 97%. The experimental result of the ACL algorithm for the character region is 92.

  Statistics
  Cite this article

[IEEE Style]

S. J. Jang and B. C. Shin, "A Study on Car License Plate Extraction using ACL Algorithm," The KIPS Transactions:PartD, vol. 9, no. 6, pp. 1113-1118, 2002. DOI: 10.3745/KIPSTD.2002.9.6.1113.

[ACM Style]

Seung Ju Jang and Byoung Chul Shin. 2002. A Study on Car License Plate Extraction using ACL Algorithm. The KIPS Transactions:PartD, 9, 6, (2002), 1113-1118. DOI: 10.3745/KIPSTD.2002.9.6.1113.

Forms

Search
(IN TITLE, AUTHOR, ABSTRACT,KEYWORDS)

Advanced Search ▼

POPULAR KEYWORDS
(TOP 10 KEYWORDS)

Recent Publications
(LAST 3 YEARS)

Old Journals

Indexing

All publications of TKIPS is indexed in DOI, EBSCO, Google Scholar, Crossref, and CrossCheck.

TKIPS is also selected as the Journal for Accreditation by NRF (National Research Foundation of Korea).

Related Journals