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手写识别系统
- 数字识别，识别手写体。 使用神经网络算法编写。 识别率一般，带训练功能-Number recognizing system,used to recogize the hand writing figures.It is writen by nero network and has low recognizing effects but we can exercise it.
联机手写数字识别1
- vc++6.0开发的联机手写数字识别系统-vc 6.0 development of on-line handwriting recognition system figures
VBocr
- VB手写识别系统,很不错,能识别数字和英文
手写识别
- 利用VB开发的手写数字识别系统，实现由1-10的手写识别-using VB's handwriting recognition system figures, the 1-10 achieved by the handwriting recognition
简单手写体数字识别系统
- 可以识别手写数字
手写鉴别用VC++6.0开发
- 手写鉴别用VC++6.0开发的一个手写字符识别系统，联机输入签名，可以识别数字，字母和汉字． ,Handwriting identification using VC++ 6.0 Development of a handwritten character recognition systems, on-line input signatures can identify numbers, letters and Chinese characters.
minipro
- 该系统功能：实现手写识别，能通过对样例库中的数据进行学习，然后能判别、分类新的输入样例。其中包含了Kn近邻算法，贝叶斯参数估计的实现。实现了open test, close test等测试方法。-The system features: realization of handwriting recognition, through the library of sample data for study, and then to identify, classify the new input
pingyingshibei
- 26个字母A-Z的手写识别系统，可以学习采样，可区别大小写。-26 letters AZ of the handwriting recognition system that can learn from sampling, may be different from case.
shouxiexitong
- 手写系统的简单实现，内含有源代码，功能不叫简单，但是一个比较不错的手写识别系统-Simple implementation of handwriting system, containing source code, function not called simple, but a relatively good handwriting recognition system
BPHandIdentifyRate
- 基于bp神经网络的手写识别系统 matlab仿真-Bp neural network-based handwriting recognition system simulation matlab
src
- 基于bp神经网络的java英文手写识别系统-Bp neural network, java-based handwriting recognition system
shouxiebixitong
- 基于网路的特别手写识别系统源码，学习手写识别-Web-based source of special handwriting recognition system to learn handwriting recognition
汉字联机手写识别系统的设计与实现
- 汉字联机手写识别系统的设计与实现，提供思路(The design and implementation of Chinese character on-line handwriting recognition system)
Character_Recognition
- 本程序主要参照论文，《基于OpenCV的脱机手写字符识别技术》实现了，对于手写阿拉伯数字的识别工作。识别工作分为三大步骤：预处理，特征提取，分类识别。预处理过程主要找到图像的ROI部分子图像并进行大小的归一化处理，特征提取将图像转化为特征向量，分类识别采用k-近邻分类方法进行分类处理，最后根据分类结果完成识别工作。 程序采用Microsoft Visual Studio 2010与OpenCV2.4.4在Windows 7-64位旗舰版系统下开发完成。并在Windows xp-32位系统下测试
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.)
神经网络mnist
- 利用神经网络对手写识别系统进行分类，正确率高达92%。(Using neural network to classify handwritten recognition system, the correct rate is as high as 92%.)
手写数字识别系统
- 基于神经网络识别的手写数字识别系统，有gui界面(Handwritten digital recognition system based on neural network recognition)
MATLAB神经网络手写数字识别（GUI，论文）
- 本课题为基于MATLAB的BP神经网络手写数字识别系统。带有GUI人机交互式界面。读入测试图片，通过截取某个数字，进行预处理，经过bp网络训练，得出识别的结果。可经过二次改造成识别中文汉字，英文字符等课题。(This project is based on Matlab bp neural network Handwritten digit recognition system. With GUI human-computer interactive interface. Read in the
手写数字识别
- 基于Matlab的手写数字识别系统，准确率还行，配有GUI界面(Matlab handwriting number recognition system, accuracy is not bad, with GUI interface)
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