DocumentCode :
1954704
Title :
License plate location based on combinatorial feature
Author :
Yan-qing, Zheng ; Dai-ping, Li ; Shu-wen, Zhang
Author_Institution :
Fac. of Comput., Guangdong Univ. of Technol., Guangzhou, China
fYear :
2011
fDate :
25-27 Aug. 2011
Firstpage :
165
Lastpage :
168
Abstract :
The license plate location is an essential process in the license plate recognition system, and has been studied widely. In view of vehicles image on different background and light densities, this paper presents a license plate location algorithm based on combinatorial feature. Firstly, we propose to preprocess the image of license plate with traditional but rapid method. Secondly, we define some useful features so as to roughly locate the license plate. At last, we repeatedly use the combinatorial feature to obtain the real license plate from many candidates. We design this novel algorithm and integrate it into the project of the license plate recognition system. We implement and evaluate our system in various illumination and background conditions. Through extensive experiments, we show the algorithm of this paper can extract the license plate from the image efficiently and accurately.
Keywords :
combinatorial mathematics; feature extraction; image recognition; combinatorial feature; license plate extraction; license plate location algorithm; license plate recognition system; Arrays; Color; Feature extraction; Image color analysis; Image edge detection; Licenses; Vehicles; Intelligent Transportation System; edge detection; gray; hop; license plate location;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Microwaves, Radar and Remote Sensing Symposium (MRRS), 2011
Conference_Location :
Kiev
Print_ISBN :
978-1-4244-9641-9
Type :
conf
DOI :
10.1109/MRRS.2011.6053626
Filename :
6053626
Link To Document :
بازگشت