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手写数字识别 实现简单的手写数字识别功能-Handwritten numeral recognition simple handwriting recognition feature number
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手写数字识别程序，根据手写鼠标移动的方向，判读输入的数字，可以识别0-9等阿拉伯数字，识别率90 以上-Handwritten numeral recognition program, according to the direction of the handwriting mouse movement, interpretation of the input figures, can be identified 0-9, etc. Arabic numerals, the recogniti
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利用Fisher线性判别式，进行手写数字的识别。-Fisher linear discriminant handwritten numeral recognition.
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手写数字识别(用matlab编写的，能识别普通的0-9）这10个数字。-Handwritten numeral recognition
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手写数字识别，模板匹配法，visual c-Handwritten numeral recognition, template matching, visual c++
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模式识别，用贝叶斯手写数字识别。有训练集合测试集。-Pattern recognition, Bayesian handwritten numeral recognition. There are training set test set.
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MFC手写数字识别程序，记录笔画及书写方向来区分不同的数字。-MFC handwritten numeral recognition program, recording strokes and written directions to distinguish the different figures.
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手写数字识别获取特征，并且获取特征后可以进行用最小错误率贝叶斯识别-To obtain the characteristics of handwritten numeral recognition，And get the feature can be carried out with the minimum error rate of Bayesian identification
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手写数字识别之模板匹配法 推荐给大家使用 学习-Handwritten numeral recognition of template matching method is recommended to use learning
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MNIST手写体数字识别库及图片提取代码MNIST手写数字库识别实现摘要手写数字识别是模式识别的应用之一。文中介绍了手写数字的一些主要特征,并提出了截断次数特征并利用截断次数特征进行了实验(MNIST handwritten digital identification library and picture extraction code MNIST handwritten numeral library identification implementation summary Handwr
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用神经网络准确实现手写体数字的识别，很实用(Neural network to achieve handwritten numeral recognition, very practical)
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基于opencv 和机器学习方法的手写数字字符识别(Handwritten numeral character recognition of opencv)
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人工神经网络入门
artificial neural network
使用sklearn 包实现分类图片，可用于手写数字识别(artificial neural network
Using sklearn packet to achieve classification, can be used for handwritten numeral recognition)
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简单的手写数字识别，在深度神经网络中的简单尝试，对于初学者有个很好的理解(Simple handwritten numeral recognition, in the depth of neural network simple attempt, for beginners have a good understanding)
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用R语言写的手写数字识别算法（svm 方法）(Handwritten numeral recognition algorithm written in R language (SVM method))
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