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
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;
Conference_Titel :
Computer Science and Service System (CSSS), 2011 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-9762-1
DOI :
10.1109/CSSS.2011.5974394
