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实现0-9个手写数字的识别 使用了多种方法：最近邻、势函数、神经网络、贝叶斯分类器-To achieve recognition handwritten digits 0-9 using a variety of methods: the nearest neighbor, potential function, neural networks, Bayesian classifier
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This directory contains the original version of the database
"Optical recognition of handwritten digits" by E.Alpaydin and
C.Kaynak, Department of Computer Engineering, Bogazici University,
80815 Istanbul, Turkey.
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图象处理 模式识别 多种分类方法(最临近匹配分类器、Bayes分类器、线性函数分类、非线性函数分类、神经网络分类)识别0-9数字 手写数字与数字图片,包括设计训练样品库、可以选择多种分类器来识别识别0-9这十个阿拉伯数字，包括临时手写的数字，也包括图片中的数字
-Pattern recognition image processing a variety of classification (the most close to matching classifier, Bay
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此程序用于识别手写数字，主要是采用基于特征的方法，用一个5×5的栅格将数字分成25分，每份为一个特征，共有25个特征，然后进行特征匹配，识别出数字。-This procedure used to identify handwritten digits, mainly based on the characteristics of the method, using a 5 × 5 grid will be divided into 25 sub-figures, each as a featur
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手写数字识别：手写数字或者打开已有的手写数字图像后，在右视图空白处，单击鼠标左键，激活右视图，选择菜单中的各种分类算法，可以对手写数字进行分类-Handwritten numeral recognition: handwritten handwritten numbers or open an existing digital image, the blank space in the right view, click the left mouse button to activate the
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手写数字识别的几种算法 c 源码，希望对大家有所帮助-Several handwritten numeral recognition algorithm c source code, we want to help
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关于模式识别的程序，实现手写数字的分类，可以自己添加训练。 VC-Pattern recognition classification of handwritten digits VC++
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自动识别手写数字，并输出其所属类别的概率-Automatic Identification handwritten digits, and outputs the probability of their category
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基于支持向量机的手写体的识别源码！the recognition of handwritten digits using Kernel Discriminant Analysis.-the recognition of handwritten digits using Kernel Discriminant Analysis.
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此文件包包含用卷积神经网络识别手写输入的识别程序，数据可从MNIST下载-This release includes sample of handwritten digits recognition using CNN. If you just want to try it run cnet_tool. You ll see a simple GUI. It loads pretrained convolutional neural net from cnet.mat and recognize
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手写体数字识别的训练数据库（MNIST）。
收集了500多位实验者的共60000个样本。-THE MNIST DATABASE of handwritten digits
Four files are available on this site:
train-images-idx3-ubyte.gz: training set images (9912422 bytes)
train-labels-idx1-ubyte.gz: training set label
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利用opencv识别手写数字的分类，并识别，利用了mnist数据库-Using opencv recognize handwritten digits classification and identification, the use of mnist database
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MFC实现手写数字的识别，包含Beyes分类，线性函数分类，神经网络分类等各种算法的实现-MFC to achieve recognition of handwritten digits, including Beyes classification to achieve a linear function of classification, neural network classification of various algorithms
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能够实现对手写数字的识别，是文字识别的基础，刚接触图像处理，是用于练手的一个不错的小程序-Able to achieve the recognition of handwritten digits, and is the basis for character recognition, image processing fourth year, is a small program used to train a good hand
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用matlab实现的神经网络经过训练，实现手写数字是别的-Using matlab neural network trained to achieve something else handwritten digits
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可用于识别手写数字，并有多种算法进行比较其识别正确率-Can be used for recognition of handwritten digits, and a variety of algorithms to compare the recognition accuracy
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用于手写数字的识别，用Matlab编程，里面有数字样本和程序，用神经网络进行训练，已经运行成功。-For recognition of handwritten digits, Matlab programming, which has digital samples and procedures for training the neural network, has been run successfully.
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手写体数字的识别，采用bp神经网络，有很好的效果-Recognition of handwritten digits, using bp neural network, the results were OK
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简单的识别手写数字的demo，使用了神经网络进行训练-Simple recognition of handwritten digits demo
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