An Autonomous License Plate Detection Method

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 iden...

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Bibliographic Details
Main Authors: Kuo, Hsiao-Chen, Lee, Jiann-Shu, Kao, Sho-Tsung
Format: Conference Proceeding
Language:English
Subjects:
Computer vision
Image edge detection
Intelligent sensors
Intelligent transportation systems
license plate detection
License plate recognition
Pixel
Roads
Sensor systems
Vehicle detection
Vehicle dynamics
Online Access:Request full text
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Summary: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.
DOI:10.1109/IIH-MSP.2009.222