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License Plate Recognition (LPR) is a very important research topic in computer vision of ITS. License plate location is the key step of LPR. Though numerous of techniques have been developed, most approaches work only under restricted conditions such as fixed illumination, limited vehicle license plates,and simple backgrounds. This paper attempts to use the AdaBoost algorithm to build up classifiers...
License plate locating has been the bottleneck of Automatic Vehicle Recognition System. In order to improve the speed and accuracy of license plate locating, this paper proposes a simple and practical method of license plate locating. This method uses the adaboost algorithm to locate license plate. We can first enhance the texture features in the vertical direction of the plate through image preprocessing...
This paper mainly covers the development of a FPGA-based fuzzy controller and image processing system for a small-sized humanoid robot. All the computations are operated on an FPGA board including the real-time image processing and the fuzzy logic controller design for PK event in FIRA RoboWorld cup. At first, the specification of the hardware is introduced. The image processing is then employed for...
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