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homework6
- 使用matlab实现手写阿拉伯数字的识别。-Using matlab to achieve the recognition of handwritten Arabic numerals.
DigitalRec
- 手写体数字识别的VC实现 使用神经网络算法对手写体数字进行识别，训练后识别率可达90％左右。-Handwritten Digit Recognition of the VC to achieve the use of neural network algorithm for handwritten numeral recognition, training, recognition rate can reach about 90.
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
up_211113094CF5E08
- 基于SVM的手写体阿拉伯数字识别，讲的很详细-SVM-based recognition of handwritten Arabic numerals, speak in great detail
alaboshibie
- 基于SVM的手写体阿拉伯数字识别，提出了支持向量机的新方法-SVM-based recognition of handwritten Arabic numerals, put forward a new SVM method
tuixiang
- 使用matlab对手写的字母进行辨识，使用matlab7.0版本-Matlab on the use of handwritten letters to identification, the use of matlab7.0 version
Paper1
- The paper describe Segmentation and Recognition of Handwritten Numeric Chains
Paper2
- An Efficient Feature Extraction Algorithm for the Recognition of Handwritten Arabic Digits
NumberRecognitionSystem
- 本文论述并设计实现了一个脱机自由手写体数字识别系统。文中首先对待识别数字的预处理进行了介绍，包括二值化、平滑滤波、规范化、细化等图像处理方法；其次，探讨了如何提取数字字符的结构特征和笔划特征，并详细地描述了知识库的构造方法；最后采用了以知识库为基础的模板匹配识别方法,并以MATLAB作为编程工具实现了具有友好的图形用户界面的自由手写体数字识别系统。实验结果表明，本方法具有较高的识别率，并具有较好的抗噪性能。-In this paper,
gskmadechar
- 基于人工神经网络的手写英文字母、数字图像识别的源程序代码。-Based on Artificial Neural Network handwritten letters of the alphabet, the digital image to identify the source code.
matlab
- MATLAB 神经网络用于数字识别源程序 手写数字识别，有图例，大家可以-MATLAB neural network to identify the source for digital handwritten numeral recognition, there are legends, we will look at
TextRecognition
- VB基于OCR的手写文字识别程序源代码，代码包中包括有两款演示程序，不过目前不能支持中文，可以识别数字和字母，识别率不错，识别后分别得出匹配率和匹配的字符。-VB-based handwritten character recognition OCR source code, code package includes two demo program, but can not support Chinese, can identify
svmhmm
- svm和hmm混合模型手写签名认证,充分利用SVM的分类能力以及HMM适合处理连续信号的优势进行手写签名认证-hmm mixed model and svm handwritten signature authentication, make full use of the classification ability of SVM and HMM for continuous signal processing advantages
ex13_061221015
- 1)实现手写阿拉伯数字的识别。 2)读入测试图象，鼠标选中相应区域，输出区域中的数字值。-1) to achieve the recognition of handwritten Arabic numerals. 2) read the test images, the mouse to select the appropriate region, the output of the digital value of the reg
ocrdata
- 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.
USPS
- 用于手写体数字识别的USPS样本数据库和将MAT格式的样本数据库转换成二值化图像并以行程编码存储-For handwritten numeral recognition of the USPS database and a sample format of samples MAT database into binary image and the Run-Length Coding storage
1234
- uci机器学习数据库关于字符识别的源数据。是字符识别的研究的关键数据来源。包括手写字体和印刷体两类，手写的数字和印刷体的字母。-uci machine learning database on the source character recognition data. Character recognition research is the key source of data. Including two types of han
handwrittencharacterrecognition
- 三种神经网络方法用于手写体字符识别PNN、RBF、BP-Three kinds of neural networks for handwritten character recognition PNN, RBF, BP
CNNcharacterrecog
- 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 recogni
DigitalRecongnization
- 基于神经网络的手写数字识别系统，字符识别-Neural Network Based Handwritten Digit Recognition System