A recognition method of Car License Plate Characters based on template matching using modified Hausdorff distance

Author

Zhu You-qing ; Li Cui-hua

Author_Institution

Dept. of Comput. Sci., Xiamen Univ., Xiamen, China

Volume

6

fYear

2010

fDate

24-26 Aug. 2010

Firstpage

25

Lastpage

28

Abstract

In this paper, a novel recognition method is proposed aiming at the current difficulties existing in Car License Plate Characters recognition. Firstly, the method builds three Template Libraries apart including Chinese characters, English letters and Figure. The character to be recognized is preprocessed involving normalization, refinement and so on. And then, it is identified by using modified Hausdorff distance template matching method. The experiments show that the method is effective and feasible.

Keywords

automobiles; character recognition; image matching; traffic engineering computing; Chinese character; English character; Hausdorff distance; car license plate character recognition; template library; template matching; Electronic mail; Image recognition; Libraries; Rail transportation; Hausdorff distance; image thinning; license plate character recognition; template matching;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer, Mechatronics, Control and Electronic Engineering (CMCE), 2010 International Conference on

Conference_Location

Changchun

Print_ISBN

978-1-4244-7957-3

Type

conf

DOI

10.1109/CMCE.2010.5609928

Filename

5609928