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基于支持向量机和神经网络的车牌识别

基于支持向量机和神经网络的车牌识别

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基于 SVM 和神经网络的车牌识别项目，算是我在老项目库里翻出来的一个宝藏资源。Windows 7 + OpenCV 2.4.9 + VS2012，配置虽然老了点，但跑起来还挺稳。项目分模块做得蛮清晰，像segmentation就是用来从原图里抠目标区域的，执行时有提示输入图片名（别忘了加后缀哦）。SVM和train_OCR分别搞定模型训练，直接用classify识别就行，路径和 XML 文件配置一下就能跑。

整个流程比较线性，适合初学者理解原理，也方便你根据需要做二次开发。OCR 和字符提取用的神经网络思路也蛮经典的，代码虽然不新，但可读性还不错。推荐你先跑一遍熟悉下流程，再慢慢调试、改造。

顺手还整理了几个相关资源，像C#实现 OCR、BP 神经网络实现这些都挺有参考价值的。如果你想看看更现代点的实现，也可以戳下TensorFlow 的人脸识别，思路通用，代码也清爽。

如果你刚好在搞图像识别，又想了解传统机器学习和神经网络结合的玩法，这套代码还蛮值得折腾的。就是环境旧了点，建议你用虚拟机或者兼容模式跑。

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基于支持向量机和神经网络的车牌识别 预估大小：802个文件
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rar 文件大小：37.53MB