License plate recognition based on mathematical morphology method and RBF neural network

License plate recognition is one of the core technologies in intelligent traffic control. There are broad application prospects in intelligent car park management, highway automatic toll collection and violation detection. This technology combines computer technology, image processing, pattern recognition and many other disciplines, which is an important research topic in the transport sector in recent years. In this paper, the license plate location method is based on mathematical morphology method and a modified RBF neural network algorithm to complete the identification. There is a good recognition result through MATLAB simulation experiments.