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nnetwk
- 一个基于BP神经网络的matlab手写识别程序，可识别0-9的数字，如果加点英文字母的图片，再改改参数，应该能识别英文。-Based on BP neural network matlab handwriting recognition program that identifies 0-9, if the English alphabet picture plus point, and then changed the parameters, should be able to identif
OCR
- matlab 编写的OCR数字识别程序，可以识别手写的数字图片。-OCR recognize program by matlab
TrackStructure
- 手写体数字识别系统 可执行 c++ 输入图像应为bmp格式图片 可以在画图中手写数字然后保存放入程序中即可-c++
mnist2pic
- 将mnist数据集.idx3-ubyte文件转换为.png文件,将转换后的图片自动保存到'picture'文件夹中，并且按照手写字体的数字分别放在对应“0-9”命名子文件夹中。(Convert the MNIST data set.Idx3-ubyte file to the.Png file, automatically save the converted image to the'PICTURE'folder, and place the number in the correspondi
testall
- 有关matcovnet中的lenet网络的准确度测试代码，以及自己建立的测试集图片测试与手写数字测试的GUI界面(About the accuracy test code of lenet network in matcovnet, and the GUI interface of the test set, picture test and handwritten numeral test set up by myself)
main.py
- 人工神经网络入门 artificial neural network 使用sklearn 包实现分类图片，可用于手写数字识别(artificial neural network Using sklearn packet to achieve classification, can be used for handwritten numeral recognition)
手写体数字识别界面程序
- 模糊模式识别，贝叶斯，手写识别。用于识别手写的数字。有样本图片。(Fuzzy pattern recognition, Bayes, handwriting recognition. Used to recognize handwritten numbers.)
mnist
- 手写数字识别。通过各种数字图片进行机器识别，属于机器学习入门级别编程。(Handwritten digit recognition. The machine is recognized by various digital pictures, which belongs to the introduction level programming of machine learning.)
Extended Yale B Database
- 这是MNIST数据库（一个手写数字的数据库，它提供了六万的训练集和一万的测试集，它的图片是被规范处理过的，28*28的灰度图） 总共4个文件: train-labels-idx1-ubyte: training set labels t10k-images-idx3-ubyte:? test set images t10k-labels-idx1-ubyte:? test set labels train-images-idx3-ubyte: training set images(T