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Vehicle identification is one of the key technologies to achieve road transport automation and the deep research of this technology has important practical significance to the development of intelligent transportation. Because image backgrounds of car models are complex, and the count of car models is too large, model identification has long been a research hotspot and difficult. This paper mainly...
License plate recognition can be widely used in traffic direction of Olympic Games, traffic management, and so on. Because the picture of license plate is complex, the character segmentation error is a main cause of decrease of license plate recognition rate. Research on denoising and character segmentation algorithm is crucial in the license plate recognition system. Connected domain analysis method,...
A few of classic thinning algorithms are presented. Combing with the advantages of the medial axis approach and the peeling approach, propose a new thinning algorithm, and it has been used to the car plate recognition system. The experiment shows that the new algorithm provides high implement efficiency, good thinning effect, greatly improving the whole performance of car plate recognition system.
Most methods of the tradition character reorganization are based on JPEG and the classifier and then matching with the templates. Due to the environmental of plate with large noise plate and interference factors, the accuracy of this method is relatively low. In this paper, based on the analysis of the traditional method of the character recognition, it uses wavelet processing for image pre-processing,...
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