搜索资源列表
offlineRec
- 数字图像识别中的脱机字符识别：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。-Digital Image Recognition of Offline Character Recognition : handwritten digital identification Fisher Linear Discriminant. Handwritten identification templa
20070905
- 手写数字识别之模板匹配法 识别手写数字-Handwritten numeral recognition template matching of handwritten numeral recognition
20070905
- 手写数字识别之Fisher线性判别 想要的-Handwritten numeral recognition of Fisher Linear Discriminant want
sb
- 这是一个识别手写数字的程序，可以通过修改模板，也可以识别数字、英文字符验证码-This is a hand-written digit recognition procedure, may amend a template, you can identify the number of English characters Verification Code
handWritingRecoginition
- Java编写的手写数字识别器。可以识别一般人的手写数字字体，识别率达到80％。-Java prepared handwritten numeral recognition. Most people can identify the handwriting digital fonts, the recognition rate of 80.
number
- 在matlab平台下开发的对手写数字识别代码，-In matlab platform developed under the code of handwritten numeral recognition,
linearclassfier
- 脱机字符识别，手写数字识别之模板匹配法，数字识别之神经网络法，手写数字识别之Fisher线性判别，基于Fisher准则线性分类器设计 进一步了解分类器的设计概念，能够根据自己的设计对线性分类器有更深刻地认识，理解Fisher准则方法确定最佳线性分界面方法的原理-Offline character recognition, handwritten numeral recognition is template matching, the
PROJECT
- 这是我们 模式识别的project,识别手写数字，准确率很高-This is our recognition of the project, handwritten numeral recognition, high accuracy rate
weewe
- 手写数字识别系统,好好用的,希望大家喜欢哈-Handwritten numeral recognition system, properly used, I hope everyone likes Kazakhstan
delphi5
- 模板匹配之手写数字识别系统,基于DELPHI 7.0-Template matching of handwritten numeral recognition systems, based on DELPHI 7.0
NeuralNetwork_BP
- 模式识别的一个基础程序,手写数字模式识别,提供给大家分享-A basic pattern recognition procedures, handwritten numeral recognition, available to everyone to share
RegFigure
- MFC编写的手写数字识别程序，可移植到wince下-MFC prepared handwritten numeral recognition procedure can be transplanted to wince under the
12
- 手写数字识别系统设计,主要用于对手写体数字的自动识别-Handwritten numeral recognition system design, mainly used for automatic recognition of handwritten numerals
2143-anqn
- 数字识别vc++实现的手写数字识别算法，给做图像处理的朋友一个参考。该程序能识别-noWith vc++ Realize the handwritten numeral recognition algorithms, image processing to make friends as a reference. The program can identify 0 ~ 9 of 10 digits.
Digit-recognizer---knn-a-svm
- matlab中分别使用knn（k近邻）与svm（支持向量机）实现的对手写数字识别的二分类器-Digit recognizer(KNN and SVM) developed in matlab
readMNIST
- 用ELM实现手写数字的识别，快速，用MNIST数据库(Handwritten numbers recognition realized by ELM)
kmean
- 通过编写Kmeans算法识别自己的手写数字0——9个数字(Through the preparation of Kmeans algorithm to identify their handwritten numbers 0 - 9 numbers)
用神经网络进行手写数字的识别
- 该文件可以用于实现手写文字的图像识别，欢迎下载(The document can be used to achieve handwritten text recognition)
14.SVM(代码)
- 用SVM在python平台实现手写数字的识别(using the algorithm of SVM to recognition of handwritten numerals on python)
BP神经网络手写数字识别
- 使用bp神经网络算法识别手写阿拉伯数字图像，三层的误差反馈神经网络，可输出准确率，数据集为60000条数据，每条数据是一张28*28的图片(The BP neural network algorithm is used to recognize handwritten Arabia digital images, and the error feedback neural network of three layers can outp