搜索资源列表
Digits-Recgnition-Based-on-SVM
- 介绍了基于SVM的手写体数字识别,是一篇不错的期刊文章-To introduce handwritten digit recognition based on SVM is a good journal articles
PCAFex
- PCA feature extraction in handwritten digit recognition.
NumberHandwritting
- 基于神经网络的手写体数字识别,它是用matlab实现的,其中用3种不同的神经的网络方法实现了手写体数字的识别,非常利于初学者的学习和交流。-Handwritten digit recognition based on neural networks, which is achieved using matlab, in which three different neural network to achieve the recognition of handwritten digits, is
program
- 手写数字的识别的matlab实现,运用基本的图像处理和BP神经网络来实现,程序的使用方法请参阅 readme.txt-Handwritten digit recognition matlab realize, the use of basic image processing and BP neural network to achieve the program' s usage, please refer to the readme.txt
mnistAll
- mnistAll数据库,手写体数字识别数据库。里面有分好的训练与测试样本集及对应标签-mnistAll databases, handwritten digit recognition database. There are good training and testing sample sets and the corresponding label
dataset_616738
- 包含1593个手写数字0~9.由semeion.data经matlab处理得到semeion.mat,可直接使用。原semeion.names转化为readme.m. mat:1593*266 每行为一个样本,其中256是16*16的手写数字展开,后10列为数字识别标签,例如:若第一列为1,则数字为0,第二列为1,数字为1.。。以此类推。 另外附matlab小例子,可以画出每个数字,更好理解。图像要反转和旋转一下才符合写作习惯。-Contains 1593 handwritten d
dataset_618531
- 包含1593手写体数字0 ~ 9。从semeion.data通过MATLAB semeion.mat,可以直接使用。原semeion.names为自述。M。 Mat:1593×266 每一个行为样本,其中256是手写数字的16×16,在10栏的数字识别标签,例如:如果第一行是1,然后是0号,其次是1,1。等等。 在Matlab的小例子,可以得出每一个数字,一个更好的理解。你想翻转和旋转的是写作的习惯相一致的图像。-Contains 1593 handwritten digit 0~9
KNN_2011211651
- 应用KNN算法解决0到9的手写数字识别问题,效果在90 以上,内部有两个数据集,一个为训练集(7291个数据),一个为测试数据(2791个数据),程序采用MATLAB编写,另附有文档,程序简洁易懂-Application KNN algorithm to solve 0-9 handwritten digit recognition problem, the effect is more than 90 , the inside has two data sets, one for the tr
HDR-Using-NN
- 基于神经网络的手写体数字识别,依靠凸点特征、端点特征、二连点特征。-Handwritten Digit Recognition Using Neural Networks
Handwritten-Digit
- 应用KNN和NP算法对MINSET数据库进行手写数字识别-KNN algorithm application and NP MINSET Digital Recognition
number-recogization
- 联机手写数字识别,C语言代码实现,图像处理必备-On-line handwritten digit recognition, C language code, for image processing
hand_writing
- 用Java实现了手写体数字识别,采用了WEKA工具包-Using Java to achieve a handwritten digit recognition, using the WEKA Toolkit
shouxieshuzishibie
- 这是一个特别有用的手写数字识别方法,基于bp神经网络做法,识别率接近100 ,因为没有什么商业价值分享了-This is a particularly useful method of handwritten digit recognition based on bp neural network, the recognition rate of nearly 100
shouxieshuzishibie
- 这是一个手写数字识别本人亲测有效可以识别效果非常理想,采用映射法进行识别-A handwritten digit recognition I kiss effective measurement can identify the effect is very ideal, the mapping method is adopted for identification
OCR_shouxieshuzishibie
- 这是一个手写数字识别本人亲自编写有效可以识别效果非常理想,采用ocr方法进行识别-A handwritten digit recognition I kiss effective measurement can identify the effect is very ideal, the mapping method is adopted for identification
shouxietishibie
- 基于概率神经网络的手写体数字识别,程序可以运行,会显示识别率百分比-Handwritten digit recognition based on probabilistic neural network, the program can run, it displays the percentage recognition rate
guishouxieti
- 手写体数字识别的一个小程序,有界面,适合初学者,有需要的朋友可以-Handwritten digit recognition is a small program that has the interface, suitable for beginners, there is a need friends can see
AlexNet
- 基于AlexNet模型的手写数字识别,用Tensorflow实现,可直接运行,准确率达到98 以上-Model based AlexNet handwritten digit recognition, implemented Tensorflow, can be run directly, the accuracy rate of more than 98
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- 手写体识别_模板匹配识别方法,通过matlab实现基于神经网络的手写数字识别-Handwriting recognition _ template matching method, the matlab implementation of handwritten digit recognition based on Neural Network
train-labels-idx1-ubyte
- 用于手写数字识别的训练数据(标签) 数据格式:前32位为2049,再32位为数据数量,之后每一位都是标签值(Training data (tags) for handwritten digit recognition)