A new car plate recognition method based on fuzzy entropy

Author

Tao, Qingchuan ; He, Xiaohai ; Luo, Daishen ; Wu, Wei

Author_Institution

Coll. of Electron. Inf., Sichuan Univ., Chengdu, China

Volume

5

fYear

2004

Firstpage

4054

Abstract

A new method for the car plate extraction and recognition is presented in this paper. First, the segmentation technique, based on multiple threshold values determined by fuzzy entropy and the prior knowledge on car plate character, is used to extract the car plates, which has strong anti-noise capability, and is able to locate the car plates quickly in the varying backgrounds. Then, a recognition method combining several recognisers is proposed to recognize the car plate characters. The recognition rate of over 97% under various illumination conditions in real applications shows that the proposed method is effective and reliable for car plate recognition.

Keywords

automobiles; character recognition; entropy; fuzzy set theory; image segmentation; antinoise capability; car plate character extraction; car plate character recognition rate; fuzzy entropy; illumination conditions; multiple threshold values; prior knowledge; segmentation technique; Character recognition; Data mining; Educational institutions; Entropy; Fuzzy sets; Helium; Image segmentation; Information technology; Lighting; Morphology;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on

Print_ISBN

0-7803-8273-0

Type

conf

DOI

10.1109/WCICA.2004.1342262

Filename

1342262