Description: 该程序实现了对手写数字的识别，识别正确率较高，采用VC环境开发，希望对大家有帮助！-The program achieved the recognition of handwritten digits to identify the correct rate, using VC environment to develop, I hope all of you help! Platform: |
Size: 1693696 |
Author:武玉伟 |
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Description: 应用matlab程序，实现了对手写数字的识别，准确率非常高。-Matlab application procedures, to achieve the hand-written digit recognition, the accuracy rate is very high. Platform: |
Size: 196608 |
Author:吕晋普 |
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Description: 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. Platform: |
Size: 437248 |
Author:btttnn |
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Description: This project provides matlab class for implementation of convolutional neural networks. This networks was created by Yann LeCun and have sucessfully used in many practical applications, such as handwritten digits recognition, face detection, robot navigation and others
This release includes sample of handwritten digits recognition using CNN. Platform: |
Size: 551936 |
Author:ssss |
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Description: 针对10个手写数字的识别问题，设计了一个BP神经网络，使它能够正确识别10个数字。-Against the 10 handwritten numeral recognition problem, a BP neural network is designed so that it can correctly identify the 10 digits. Platform: |
Size: 122880 |
Author:zhangjin |
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Description: 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, Bayes classifier, a linear function of classification, non-linear function of classification, neural network classification) to identify any number of handwritten digits 0-9 and digital images, including the design of training samples library, you can choose a variety of classifier to identify the 10 Arabic numerals identify the 0-9, including temporary handwritten figures also include the number of pictures Platform: |
Size: 541696 |
Author:yao |
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Description: 采用神经网络实现手写识别的一种方法，建立Bp神经网络，采用快速训练方法，可快速完成一类相关手写字体的模式识别，识别率较高，当字体变化较大识别率降低时，可重新训练具有较强的适应性。实验证实本方法较好实现了手写字符识别，但也存在识别速度较慢，有时训练不收敛等缺点-Handwriting recognition using neural network is a way to establish Bp neural network, using fast training methods, and can be related to the completion of a class of handwriting pattern recognition, recognition rate higher recognition rate when the font changed greatly reduced, they can re- Training has strong adaptability. Experiments confirmed that this method achieved a better handwritten character recognition, but there are also identified slow, and sometimes non-convergence of the training deficiencies Platform: |
Size: 105472 |
Author:caoliang |
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Description: 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 right view, select the menu of various classification algorithms can be classified on the handwritten digits Platform: |
Size: 4338688 |
Author:HAKUNA |
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Description: Handwriting Recognition using Kernel Discriminant Analysis.
Demonstration of handwritten digit recognition using Kernel Discriminant Analysis and the Optical Recognition of Handwritten Digits Data Set from the UCI Machine Learning Repository. Platform: |
Size: 1415168 |
Author:reyjav |
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Description: 手写体数字的识别。使用的是BP神经网络的方法，自己看着能不能用吧，我也就是下个资源-Handwritten digits recognition. Using BP neural networks, their look can use it, and I was the next resource
Platform: |
Size: 915456 |
Author:刘润田 |
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Description: 手写数字识别程序
1、 在左边的白色框中长按鼠标左键手动输入数字，数字最大个数小于10个；
2、 输入的每个数字要求是连续的；
3、 两个不同数字之间不要出现笔画重叠；
4、 输入数字的速度不要太快（视个人计算机速度而定）；
5、 输入字体不要太小；
6、 识别结果按照手写数字从左到右依次排列。
-Handwritten numeral recognition program, in the left white box, long click the left mouse button to manually enter a number, figure the maximum number of less than 10 2, each number of the input requirement is continuous between two different digital not appear strokes overlap 4, enter the number of speed too quickly (depending on personal computers speed) 5, enter the font is not too small , identification results according to the handwritten digits from left to right in order of priority. Platform: |
Size: 739328 |
Author:郭粉玉 |
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Description: 斯坦福大学的手写字符图像库，方便大家免于读写idx1-ubyte和idx3-ubyte文件。数据包括训练图像60000幅，测试图像10000幅，图像大小为20*20；以及存储图像及其对应类别的xml文件，并写好了opencv读写方法的文档。-THE MNIST DATABASE of handwritten digits.It includes 60000 training images and 10000 testing image.And it contains the xml files representing the images and labels,which contains the read format of opencv. Platform: |
Size: 31021056 |
Author:赵博儒 |
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Description: 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 labels (28881 bytes)
t10k-images-idx3-ubyte.gz: test set images (1648877 bytes)
t10k-labels-idx1-ubyte.gz: test set labels (4542 bytes) Platform: |
Size: 10654720 |
Author:hsj |
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Description: 用Skeletonization剪枝方法精简BP神经网络结构，提高网络泛化能力，对手写数字进行识别。-Skeletonization pruning method using BP neural network architecture to streamline and improve the network generalization ability of the handwritten digits recognition. Platform: |
Size: 175104 |
Author:屠海斌 |
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Description: 介绍了在提取穿越次数特征、粗网格特征以及密度特征提取的基础上应用SVM进行手写体阿拉伯数字识别的方法。-Introduced the extraction across a number of features, coarse grid and density feature extraction on the basis of the application of SVM method for handwritten digits recognition. Platform: |
Size: 24576 |
Author:ping |
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Search - The handwritten digits