With the continuous improvement of the national economic level, people's travel mode has gradually evolved to be dominated by cars. However, due to unreasonable road planning and human-initiated traffic violations, road traffic safety problems are becoming more and more serious, such as illegal parking, illegal driving and other traffic violations are increasing day by day. Large-scale traffic accidents endanger people's lives. As the "identity card" of the vehicle, the license plate number can uniquely identify the vehicle, and the license plate plays an important role in identifying the vehicle in traffic violations. In recent years, the main way to deal with traffic violations in my country is to let traffic law enforcement officers use law enforcement cameras to record some information on the scene of violations, such as photographing vehicle license plates and recording live videos. Aiming at the problem of vehicle license plate recognition in the scene of the law enforcement instrument, the problem of license plate recognition is solved by using a deep learning model and a scene-based algorithm, thereby improving the efficiency of law enforcement.
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