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为实现铁路车号自动识别,运用MATLAB的图像处理功能,采用MATLAB平台提供的一些图像处理函数,以傅立叶变换通过字符模板与待处理的图像匹配为核心思想,对车号进行读取和精确定位。运用BP神经网络算法在MATLAB平台上解决因自然因素或采样因素所造成的车号字符识别困难。
In order to realize automatic identification of railway car number, using MATLAB image processing function, some image processing functions provided by MATLAB platform are used to read and precisely locate the car number through the Fourier transform through the matching of the character template and the image to be processed . Using BP neural network algorithm in MATLAB platform to solve due to natural factors or sampling factors caused by car number character recognition difficulties.