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《Journal of Graphics》 2017-06
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License Plate Location Algorithm Based on Adaptive Mathematical Morphology

WANG Xiaoqun;LIU Hongzhi;Beijing Key Laboratory of Big Data Technology for Food Safety, Beijing Technology and Business University;  
The basic process of vehicle license plate location includes pretreatment, the rough location and the accurately location of license plate. In the step of the rough location, the traditional license plate locating algorithm based on mathematical morphology, and the key to its success is the selection of the structural element. Generally, we use the same structural elements to determine the location of license plate. But there are some faults. An algorithm based on adaptive row and columns structure element of mathematical morphology is proposed. Under natural conditions, the location of license plate in vehicle image may be effected by the brightness or darkness. Based on this, the adaptive contrast enhancement algorithm is proposed in this paper which is applied in the image pretreatment stage. The results show that the algorithm is effective. In the step of precise positioning, this paper used method of region-labeling and the method of projection to locate the license plate accurately. We collect more than six hundred images in different time or place and experiment results show that the method is effective.
【Fund】: 北京市属高等科学技术与研究生教育创新工程建设项目(PXM2014_014213_00043)
【CateGory Index】: TP391.41
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