DocumentCode :
3257341
Title :
Study on the identification system of car license plate based on imbedded computer system
Author :
Zhang, Kaisheng ; Tang, Wei ; Wei, Huabiao ; Shi, Rongyan
Author_Institution :
Coll. of Electr. Eng., Sci. & Shaanxi Univ. Technol., Xi´´an, China
Volume :
1
fYear :
2010
fDate :
22-24 June 2010
Abstract :
The automatic identification system of car license plate is a kind of computer system which can extract the character information of a car license plate from a car image in terms of computer vision technique, image processing technique and pattern recognition technique, etc. It is one of the important parts of realizing traffic management intelligentization. An automatic identification system of car license plate based on imbedded computer system applicable for intelligent traffic field is studied in this paper. Some relative algorithms are proposed to realize the partition of the car license plate characters. This paper also illustrates the hardware and software of the imbedded computer system in detail used to car license plate. As one of the important parts of the intelligent traffic system, the car license plate identification technique has wide future application and theoretical significance with the combination to the developing imbedded computer system.
Keywords :
character recognition; embedded systems; image recognition; traffic engineering computing; automatic identification system; car image; car license plate; character information; computer vision; embedded computer system; image processing; pattern recognition; traffic management; Computer vision; Educational technology; Intelligent systems; Intelligent transportation systems; Licenses; Modems; Road transportation; Road vehicles; Stability; Technology management; ARM processor; Identification of car license plate; Imbedded computer system; Linuxy; character partition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Education Technology and Computer (ICETC), 2010 2nd International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-6367-1
Type :
conf
DOI :
10.1109/ICETC.2010.5529279
Filename :
5529279
Link To Document :
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