搜索资源列表
RegFigure
- 基于VC++ 6.0的手写数字识别程序。主要是对数字1、2、3、7的识别-Based VC++ 6.0 of handwritten numeral recognition program. Mainly for the identification numbers 1,2,3,7
charrec
- 联机字符识别,可以通过手写输入字符,通过特征码学习,自动存入识别库,识别的时候查询特征码-Online character recognition, you can enter characters by hand by signature learning, automatically deposited identification database, the recognition time query signature
123MNISTTrain
- 手写数字训练识别,基于MNIST库进行训练识别,6W个训练样本,识别率95 以上-Handwritten numeral recognition training, training on MNIST library identification, 6W training samples, the recognition rate of 95 or more
img
- 一种基于运动图像的在线手写汉字识别方法,一种基于运动图像的在线手写汉字识别方法-Motion picture based on-line handwritten character recognition method based on the moving image Online Handwritten Chinese Character Recognition
zbsvm
- 自己编写的一个关于MISNT手写数字识别的源程序,是一种对原SVM的改进算法,效果不错。-I have written about MISNT handwritten numeral recognition of the source, is an improvement on the original SVM algorithm, the effect is good.
Hand-writes-number-recognition
- 用C++写的手写数字识别程序,能够比较准确的识别大部分手写体数字。-Written by C++ handwritten numeral recognition program that can more accurately identify most of the handwritten numerals.
NumberRecognize
- 根据RBM深度网络(Hinton,2006)进行MINST手写文字的分类器的训练,利用训练得到的权值制作了这个小程序,通过这个程序可以看出训练结果对数据集内的测试样本和训练样本都能进行很好的识别,但是对其他的手写字体识别就没有那么好了。-According to RBM depth network (Hinton, 2006) conducted MINST handwritten text classifier training, using the training to get the r
main
- 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
DlgClassify
- 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
hand_writer_with_svm
- 基于opencv的手写数字识别(MFC,HOG,SVM)-Opencv handwritten numeral recognition (MFC, HOG, SVM) based
ssss
- 较实用的识别数字符号的实例,神经网络训练,识别手写数字-Identification of a practical instance of digital symbol, neural network training and recognition of handwritten Numbers
Autoencoder_Code
- 采用自编码器实现手写数字识别(matlab),是深度架构的一种。-Handwritten numeral recognition is realized by using the Auto-encoder (matlab), it is one of the deep structure.
DigitalRecongnization
- 数字图像模式识别工程软件__模板匹配之手写数字识别系统-Template matching of handwritten numeral recognition system
Release
- 闲时无聊,搭了一个基于深度神经网络的手写数字识别系统。该系统在手写数字数据库mnist测试达到了99.22 的准确率。整个系统基于C++开发,可以很方便的移植到其他平台。 其中手写数字数据库mnist(http://yann.lecun.com/exdb/mnist/),有60000个训练样本数据集和10000个测试用例。它是由Google实验室的Corinna Cortes和纽约大学柯朗研究所的Yann LeCun建立的一个手写数字数据库。同时它是nist数据库的一个子集。
code
- 数字图像识别 包括手写数字识别之Fisher线性判别 手写数字识别之模板匹配法 数字识别之神经网络法 细化算法-numerical recognition
recognition
- 本程序主要实现了基于贝叶斯分类的手写数字识别。 1、主程序为recognition.m,运行程序只需打开recognition.m文件运行即可 2、byes算法程序分别在bayes_erzhi.m文件、bayes_leasterror.m文件和bayesleastrisk.m文件中,分别对应着基于二值数据的bayes法的算法和基于最小错误的bayes法的算法和基于最小风险的贝叶斯分类器。 -The program achieved a handwritten numeral reco
CNNmatlab
- cnn卷积神经网络用于手写数字识别,cnet_tool是一个demo-cnn convolution neural network for handwriting recognition, cnet_tool is a demo
123
- 手写字符识别,使用svm 支持向量机和 knn最近邻分类器-Handwritten character recognition using svm SVM and knn nearest neighbor classifier
Bayesian-classifier
- matlab基于贝叶斯的手写输入数字识别代码-Based on Bayesian handwriting matlab digital identification code
image-processing24
- 模式识别中的手写体识别,首先提取手写字体的特征,比如分块方法-IMAGE PROCESSING AND PATTEN RECOGNITON