Application of mathematical morphology in license plate localization

被引：0

作者：

Xin Yuanfang ^{[1
]}

Sun Xia ^{[1
]}

机构：

[1] Anhui Univ Sci & Technol, Dept Elect & Informat Engn, Huainan 232001, Peoples R China

来源：

2018 IEEE CSAA GUIDANCE, NAVIGATION AND CONTROL CONFERENCE (CGNCC) | 2018年

关键词：

mathematical morphology; edge detection; structure element; information entropy;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

License plate localization is the key process in vehicle plate recognition, but it is very difficult to achieve. Using the texture feature of a license plate, an adaptive extraction algorithm for edge detection based on mathematical morphology and information entropy is presented in this paper. The edge is extracted from different directions, and the license plate is located by projection. The experiment showed that proposed positioning method was effective for noisy images, and could accurately position the plate region regardless the interference and complex background of a vehicle image; also the algorithm had good robustness.

引用

页数：5

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