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

机译:基于数学形态学方法和RBF神经网络的车牌识别

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摘要

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.
机译:车牌识别是智能交通控制中的核心技术之一。在智能停车场管理,高速公路自动收费和违规检测方面具有广阔的应用前景。这项技术结合了计算机技术,图像处理,模式识别和许多其他学科,这是近年来运输领域的重要研究课题。本文中的车牌定位方法是基于数学形态学方法和改进的RBF神经网络算法来完成识别的。通过MATLAB仿真实验得到了很好的识别结果。

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