Abstract
The automatic license plate recognition system is the important part of the modern intelligent transportation system (ITS), and the first key step of the license plate recognition is to find and separate the license plate area from the image of license plate. In this article, the quality of the license plate image is improved though a series of digital image processing in the image pretreatment, and the quick and exact license plate location is realized based on the gray projection algorithm. Large numerous of plate license images are acquired and tested by the development platform of VC++6.0, and the result shows that the technology adopted in the article has good adaptability, especially it can quickly and reliably locate the license plate images shot under complex backgrounds.
Highlights
The vehicle license plate recognition (VLPR) is one important research task of the computer vision and mode recognition technology in the intelligent transportation system (ITS), and it has been widely applied in many aspects such as intelligent traffic control, traffic accident automatic measurement, electric charge, vehicle checking and tracing (Zhou, 2008)
It is the important utilization of the image processing technology, the mode recognition, the artificial intelligent technology and the automatic control technology in the modern traffic management, and it utilizes the character that each legal vehicle has unique license plate to pick up the information of license plate to manage vehicles
The license plate location system is based on the digital image processing technology, and can confirm and separate the position of the license plate from the image through a series of processing of the license plate image shot by the camera, and prepare for subsequent license plate recognition
Summary
The vehicle license plate recognition (VLPR) is one important research task of the computer vision and mode recognition technology in the intelligent transportation system (ITS), and it has been widely applied in many aspects such as intelligent traffic control, traffic accident automatic measurement, electric charge, vehicle checking and tracing (Zhou, 2008). It is the important utilization of the image processing technology, the mode recognition, the artificial intelligent technology and the automatic control technology in the modern traffic management, and it utilizes the character that each legal vehicle has unique license plate to pick up the information of license plate to manage vehicles. The license plate contains characters and numbers, and Chinese character (the first character of the license plate), and the hanging positions of the license plate are different, and the motors with dirty license plates can run on the road, and the images of autos usually have complex backgrounds such as billboards, trees, buildings, other running vehicles and foot passengers, and zebra crossings, which bring certain difficulty for the exact location of auto license plates
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