搜索资源列表
HandNumIdenByModelReconition
- 一种用于手写字体识别（模糊识别）实现的源代码。隶属于模式识别领域-A handwritten font identification (fuzzy recognition) the source code. Attached to the field of pattern recognition
0012
- 一个手写字体识别系统，目前只支持数字和英文，希望那位高手能把它搞的更完整，搞好可别忘了给我一份哟！！ 我的邮箱是：clg-123@126.com
简单手写体数字识别系统的源代码
- 为了实现对手写字体的识别，运用了人工智能的分层神经网络思想，对识别的字体通过训练学习，达到识别手写字体的功能。-order to achieve the recognition of handwritten characters, the use of artificial intelligence hierarchical neural network thinking, the right font identification through training to learn, to a
简单手写体数字识别系统
- 可以识别手写数字
nnpractice
- 神经网络手写数字识别。配合美国MNIST标准手写数字字体库-Handwritten digit recognition neural network. With the U.S. standard of handwritten digital font library MNIST
Reco
- 基于win7开发库的手写识别输入法编程，实现了基本的手写字体的识别，需要win7或者在xp上安装手写识别开发库-Win7 development library based on handwriting recognition input method programming, basic handwriting recognition, require win7 or xp install handwriting recognition development library
shouxieshuzishibie
- 手写字体识别，识别效率不错，还可以进行学习功能-Handwriting recognition, to identify good efficiency can also be used for studying the functional
OCRshouxiezitishibie
- 用vc编写的手写字体识别程序，识别效率较高，可是识别数字和英文字母-Vc prepared with hand-written font identification procedures, to identify more efficient, but the identification numbers and letters of the alphabet
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 handwriting fonts, and print, han
bprecognition
- 采用神经网络实现手写识别的一种方法，建立Bp神经网络，采用快速训练方法，可快速完成一类相关手写字体的模式识别，识别率较高，当字体变化较大识别率降低时，可重新训练具有较强的适应性。实验证实本方法较好实现了手写字符识别，但也存在识别速度较慢，有时训练不收敛等缺点-Handwriting recognition using neural network is a way to establish Bp neural network, using fast training methods, and c
handwrite
- 手写字体识别程序，没有源码，效果一般般，希望支持一下-Handwriting recognition program, there is no source, the effect is general, want to support what
The-script-number-recognition-system
- VisualC++，手写字体识别系统，源代码，可运行-VisualC++ handwriting recognition system, source code can be run
手写字迹识别
- 手写字体识别,基于windows系统，C++编写的，手写字体识别算法。(Handwriting recognition, based on Windows, c + +, handwritten font recognition algorithm.)
xlrd-1.1.0.tar
- 手写字体识别数据专用集，可以用来测试神经网络，深度血虚(Handwritten font recognition data set)
my_cnn.tar
- 用卷积神经网络实现手写数字识别，数据集为mnist数据集(Convolution neural network is used to realize handwritten numeral recognition. Data set is MNIST data set.)
基于SVM的手写字体识别
- 基于SVM的手写字体识别，含有源程序和数据，可直接运行(SVM Based Handwriting Recognition)
基于MATLAB的文字识别
- 基于matlab的手写字体识别程序，并对结果进行保存(Matlab based handwritten font recognition program, and save the results.)
基于libsvm的手写字体识别
- 对于0到9这十个手写体数字进行识别，针对不同字形的手写体数字进行预处理(For 0 to 9, the handwritten Numbers are identified, and the handwritten Numbers of different glyphs are pretreated.)
MATLAB手写数字汉字识别[写字板，神经网络]
- 该课题为基于MATLAB bp神经网络的手写汉字识别系统。可以利用鼠标手写中文汉字进行训练，测试，可以识别任何字体，只需要到GUI界面面板更换即可。在GUI界面就可以随写随训练中文，不需要到后台手动更换文字训练，方便快捷上档次。(This project is a handwritten Chinese character recognition system based on Matlab bp neural network. You can use the mouse to write Ch
基于深度学习的手写数字体识别
- 基于深度学习的手写数字体识别，以卷积神经网络（CNN）作为网络模型，利用mnist手写数字训练数据集训练手写数字识别模型，搭建手写数字识别系统，并用自己手写的数字照片进行测试。