DocumentCode :
2068147
Title :
A pattern-based directional element extraction method for vehicle license plate detection in complex background
Author :
Yi, Fu ; Chen, Youbin
Author_Institution :
Grad. Sch. at Shenzhen, Tsinghua Univ., Shenzhen, China
fYear :
2011
fDate :
14-16 Sept. 2011
Firstpage :
1
Lastpage :
5
Abstract :
An efficient and fast method for vehicle license plate detection in complex background is proposed in this paper. It uses several convolution pattern filters to enhance character strokes while reducing irrelevant edges and background noise. Experimental results show that our proposed method has very high detection accuracy and low false positive rate compared with former methods based on edge detection and Gabor filters.
Keywords :
Gabor filters; convolution; edge detection; optical character recognition; road vehicles; traffic engineering computing; Gabor filters; background noise; character strokes; complex background; convolution pattern filters; edge detection; irrelevant edge reduction; pattern-based directional element extraction; vehicle license plate detection; Convolution; Feature extraction; Gabor filters; Image edge detection; Licenses; Vehicles; directional element; pattern; vehicle license plate detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing, Communications and Computing (ICSPCC), 2011 IEEE International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4577-0893-0
Type :
conf
DOI :
10.1109/ICSPCC.2011.6061736
Filename :
6061736
Link To Document :
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