A Study on Car License Plate Extraction using ACL Algorithm


The KIPS Transactions:PartD, Vol. 9, No. 6, pp. 1113-1118, Dec. 2002
10.3745/KIPSTD.2002.9.6.1113,   PDF Download:

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.


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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.