Title :
An Autonomous License Plate Detection Method
Author :
Kuo, Hsiao-Chen ; Lee, Jiann-Shu ; Kao, Sho-Tsung
Author_Institution :
Dept. of Manage. Inf. Syst., Far East Univ., Tainan, Taiwan
Abstract :
Detection of license plate is an important process in intelligent transportation systems before license plate recognition. In this paper, we proposed an autonomous license plate detection system with computer vision instead of sensors. Using characteristics of dynamic images, our system rapidly identifies the license plate region. The system consists of two subsystems: car detection subsystem and plate extraction subsystem. Car detection subsystem uses MMADR and NDDR of dynamic images to find the location of cars on the screen. Plate extraction subsystem uses the characteristics of the plates and plate searching algorithm to extract plate image. Experimental results show that our system can effectively detect vehicles and locate the plates under different environments.
Keywords :
automobiles; computer vision; feature extraction; image recognition; object detection; traffic engineering computing; transportation; MMADR; Minimum Moving Amount Decision Rule; NDDR; Nearest Distance Decision Rule; autonomous license plate detection method; car detection subsystem; computer vision; dynamic image characteristics; intelligent transportation systems; plate extraction subsystem; plate image extraction; plate searching algorithm; vehicle detection; Computer vision; Image edge detection; Intelligent sensors; Intelligent transportation systems; Licenses; Pixel; Roads; Sensor systems; Vehicle detection; Vehicle dynamics; computer vision; license plate detection;
Conference_Titel :
Intelligent Information Hiding and Multimedia Signal Processing, 2009. IIH-MSP '09. Fifth International Conference on
Conference_Location :
Kyoto
Print_ISBN :
978-1-4244-4717-6
Electronic_ISBN :
978-0-7695-3762-7
DOI :
10.1109/IIH-MSP.2009.222