A license plate recognition algorithm based on image processing technology

被引：0

作者：

Guo, Huiling ^{[1
]}

Zhou, Wengang ^{[1
]}

Zhao, Yang ^{[2
]}

机构：

[1] College of Computer Science and Technology, Zhoukou Normal University, Henan, China

[2] Department of Electronic and Information Technology, Jiangmen Polytechnic, Jiangmen, Guangdong, China

来源：

Metallurgical and Mining Industry | 2015年 / 7卷 / 08期

关键词：

Edge detection methods - Edge-detection operators - Gray scale - Gray-scale images - Image processing technology - Intelligent transportation systems - License plate recognition - License plate recognition systems;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

With the development of society, license plate recognition systems had become an important part of intelligent transportation systems, and had been widely used. In this paper, the existing license plate recognition algorithm was optimized by the image processing technology.Firstly, by means of the collected original gray-scale image processing, three methods of color-to-gray image were proposed. Then the edge detection was carried out, and the Sobel operator was chose as the optimal edge detection method by using four kinds of edge detection operators. Finally, according to the genetic algorithm construct the method of boundary location, the license plate was located on the basis of the column scan, and accuracy rate was up to 97%.

引用

页码：326 / 332