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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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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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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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基于matlab的模板比较法的数字与字母识别，可识别24个英文字母与十个阿拉伯数字的组合-Template comparison method based on matlab of Numbers and letter recognition, identifiable 24 English letters and combinations of ten digits
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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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Numeric Digits recognition using neural network
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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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车牌识别的源代码，能实现0带9十个数字的识别和部分汉字的识别，很好的源代码，能直接运行识别结果-LPR source code, can achieve the identification of ten digits 0 with 9 parts of identifying and Chinese characters, a good source code can run recognition results directly
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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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卷积神经网络识别字符的Matlab程序，包含所需的所有素材和自己改进的一部分代码-Convolutional neural network for handwriten digits recognition: training
and simulation.
This program implements the convolutional neural network for MNIST handwriten
digits recognition, created by Yan
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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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识别手写数字0~9，包括如何获取数字特征，如何将图形数字转换为0，1的方阵(Recognition of handwritten digits 0~9)
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