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介绍数字图像统计模式识别、模式识别决策方法及实现：测试代码有人脸检测与特征点定位、汽车牌照识别、脑部医学影像诊断、印刷体汉字识别、手写体数字识别、运动图像分析，共6个数字图像模式识别应用实例-Introduction of digital image statistical pattern recognition, pattern recognition and realization of decision making: the test code was face detection an
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MATLAB 神经网络用于数字识别源程序，可以很好的识别数字，Digits Recognition有说明-MATLAB neural network for digital identification of the source code, you can identify the number of good, Digits Recognition described
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Handwritten digit recognition algorithm code with matlab.
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手写体数字的预处理、特征提取以及识别，功能较为全面-Handwritten digit preprocessing, feature extraction and recognition, function more comprehensive
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PCA feature extraction in handwritten digit recognition.
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通过车牌提取、图像预处理、特征提取、车牌字符识别等技术，识别车辆牌号，目前的技术水平为字母和数字的识别率可达到96%，汉字的识别率可达到95%。(Through the license plate extraction, image preprocessing, feature extraction, character recognition of license plate recognition technology, vehicle brands, the current level o
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语音识别类文件，能识别0到9
预处理特征参数提取(It is good to use,It can carry out digit recognition, including preprocessing and feature parameter extraction.)
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