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2下载：
车牌识别系统,其中字符识别用的是神经网络方法-LPR system, character recognition using the neural network method
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1下载：
成功实现了车牌的定位、字符分割、并用神经网络实现了字符识别功能。可运行。-The successful implementation of the license plate of the positioning, character segmentation, and neural network achieved a character recognition function. Run.
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视频车辆牌照识别，包含汉字处理算法，BP神经网络设计。识别率高达90％以上。-Video vehicle license plate recognition, including the Chinese characters processing algorithms, BP neural network design. Recognition rate as high as 90 .
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基于神经网络的车牌识别VC源代码, 识别效率很不错，希望对大家有所帮助-Based on neural network LPR VC source code, to identify efficiency is pretty good, I hope all of you to help
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LPR車牌辨識軟體,是由VISL實驗室開發的demo source code,可以直接在Matlab環境下執行(demo),程式主要使用類神經網路演算法(Neural Network)-License Plate Recognition-- Matlab source code, it s from VISL please visit website: http://visl.technion.ac.il/ for more information
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这是我自己做的一个基于神经网络的车牌识别程序，主要针对的是国内的蓝底车牌，希望对大家有帮助！-This is my own doing a neural network-based license plate recognition program, mainly for the domestic blue license plates, we want to help!
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基于matlab的车牌识别软件，能够对车牌进行准确的定位与识别，可以运行。字符识别采用BP神经网络的方法。-Accurate positioning and recognition based on the Matlab license plate recognition software, the license plate, you can run. Character recognition using the method of BP neural network.
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硕士论文的一种方法：基于BP神经网络的一种汽车牌照字符识别方法，内含程序修改和运行说明，还有33幅测试牌照图像，识别准确率72 ，效果不错，可自行修改使用。-A method of master s thesis: a vehicle license plate character recognition method based on BP neural network, that contains the program modification and operation, there a
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1.先打开一幅图片然后按照顺序灰度化、二值化、灰度拉伸、车牌定位、二值化、倾斜校正、字符分割、训练神经网络、识别字符。
2.测试图像存储在当前目录的img下。
3.测试集、训练集、目标向量均存储在img下的文本文件中。-1. Open a picture first and then according to the order gray, binarization, gray stretching, license plate localization, binarization, t
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