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License plate recognition system is the intelligent transportation system is an important component. It is used by every car has a unique license plate number, through the camera captured images of the vehicle license plate number recognition. Without prejudice to the case of a vehicle traveling state , the computer automatically complete license plate recognition , which can reduce the complexity of traffic management . Already in the vehicle license plate recognition system crossing , do not stop automatic toll bridge , do not stop checks, vehicle location, automatic vehicle identification, traffic control indicators measuring , automatic monitoring accident on the highway , car security, auditing and tracking vehicle violations , violations , maintenance, traffic safety and urban security , to prevent traffic congestion, improve service speed toll roads and bridges to ease traffic tension , etc. will play a positive role. First, the paper introduces the license plate recognition system to carry out the background and significance of issues to explain it in an overview of the development of domestic and foreign license plate recognition difficult. Secondly , the paper license plate recognition system key technologies, the license plate location, character segmentation , character recognition are described , respectively , introduced the license plate location method commonly used in the comparison . Firstly, the use of a projection-based method to locate the license plate ; Then, for positioning the plate presents a method based on improved vertical projection of the license plate character segmentation method, the license plate character segmentation ; Finally, the use of the structural characteristics of the character-based contour recognition of digital classifier, numbers and letters classifier design . The paper also carried out on the above method simulation . Finally , the design of license plate recognition system deficiencies make a summary of recommendations for system improvement , noting that further research work papers outlook and vision.
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