DocumentCode
2614967
Title
Texture feature and self-adaptive binary method in license plate system
Author
Zhang, Xuejiao ; Fan, Fangfang
Author_Institution
Sch. of Inf. & Electron., Beijing Inst. of Technol., Beijing, China
fYear
2011
fDate
27-29 June 2011
Firstpage
3644
Lastpage
3647
Abstract
This paper proposes a texture feature method which can get rid of those interfere regions and extract out the genuinely license plate region in the complex settings of license plate extraction. Also it puts forward a self-adaptive Ostu binary method based on the spatial distribution to solve the situation of unstable or un-uniform light or dirty license plate. The experiment shows that the algorithm achieves good results.
Keywords
feature extraction; image texture; statistical analysis; traffic engineering computing; video surveillance; feature extraction; license plate extraction; self-adaptive Ostu binary method; spatial distribution; texture feature method; Color; Data mining; Educational institutions; Feature extraction; Genetic algorithms; Licenses; Vehicles; Binary algorithm; License plate extraction; Self-adaptive; Texture feature;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Service System (CSSS), 2011 International Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4244-9762-1
Type
conf
DOI
10.1109/CSSS.2011.5974394
Filename
5974394
Link To Document