Car license plates detection from complex scene

Author

Gao, Da-shan ; Zhou, Jie

Author_Institution

Dept. of Autom., Tsinghua Univ., Beijing, China

Volume

2

fYear

2000

fDate

2000

Firstpage

1409

Abstract

We present a novel approach to extract car license plate from complex image without a reading attempt. After an algorithm of segmentation, a series of candidate regions are obtained first. Then a confidence value based on the geometrical features of the license plates is given to each candidate region and merge operation under some rules is taken. Experimental results show that the algorithm is robust in dealing with different conditions such as poor illumination and distortion of image generated by different visual angle

Keywords

Karhunen-Loeve transforms; automobiles; image recognition; image segmentation; lighting; object detection; road traffic; automatic image recognition; candidate regions; car license plates detection; complex scene; confidence value; distortion; geometrical features; illumination; image generation; merge operation; segmentation algorithm; traffic surveillance systems; visual angle; Character recognition; Histograms; Layout; Licenses; Lighting; Neural networks; Optical character recognition software; Optical distortion; Robustness; Shape;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing Proceedings, 2000. WCCC-ICSP 2000. 5th International Conference on

Conference_Location

Beijing

Print_ISBN

0-7803-5747-7

Type

conf

DOI

10.1109/ICOSP.2000.891808

Filename

891808