Automatic recognition of province name on the license plate of moving vehicle

Author

Ying, Dai ; Nanning, Zheng ; Xining, Zhang ; Guorong, Xuan

Author_Institution

Artificial Intelligence & Robot Inst., Xian Jiaotong Univ., China

fYear

1988

Firstpage

927

Abstract

Considering that the characters on the license plate of a moving vehicle may be severely blurred, a method is proposed of recognizing province name on a license plate. Using the projection histogram of Chinese characters, the appropriate feature value is extracted, the fuzzy matching and dynamic program is applied, and the 29 province names of China are correctly classified. The simulation results show that this method has strong noise-resistance and a high processing speed. The recognition rate is more than 90% for the blurred characters, and the recognition time is less than one second

Keywords

computer vision; computerised picture processing; fuzzy set theory; optical character recognition; road vehicles; Chinese characters; OCR; blurred characters; character recognition; classification; computer vision; feature value; fuzzy matching; license plate; moving vehicle; noise-resistance; picture processing; processing speed; projection histogram; province name; Carbon capture and storage; Code standards; Feature extraction; Histograms; Licenses; Probability; Statistical analysis; Vehicles;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition, 1988., 9th International Conference on

Conference_Location

Rome

Print_ISBN

0-8186-0878-1

Type

conf

DOI

10.1109/ICPR.1988.28403

Filename

28403