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Neural Network OCR.
There are many different approaches to optical character recognition problem. One of the most common and popular approaches is based on neural networks, which can be applied to different tasks, such as pattern recognition, time
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用matlab做的车牌识别的,包括车牌定位位,二值化,滤波去噪,字符分割,识别,识别部分用的BP网
-License plate recognition using matlab, including the bit of license plate location, binarization, filtering, denoising, character segmentation, recognition, identify some with BP neural network
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字符识别 用卷积神经网络识别A-Z26个英文字母-Character recognition using convolution neural network A-Z26 letters
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这是利用神经网络来实现手写字符识别，起准确率已经达到99.26 ，可以继续调整参数达到更深层次的效果。需要自己搭建opencv环境。后期工作可以利用cuda对其更深层次的加速-This is achieved using a neural network handwritten character recognition, since the exact rate has reached 99.26 percent, can continue to adjust the parameters t
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车牌识别算法，采用BP神经网络的方法进行车牌字符识别，并能把汉字识别出来。-License plate recognition algorithm, using the BP neural network method for license plate character recognition, and to recognize Chinese characters.
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