搜索资源列表
Handwritten-numeral-recognition
- matlab环境下实现对手写体数字的分类识别-Handwritten Arabia digital numeral recognition
79865467
- 钢笔手写体生成工具(PHP) v1.0，php编程学习源码，web网页制作参考资料。-Pen handwriting generation tool (PHP) v1.0, PHP learning programming source code, web Webpage production of reference materials.
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- 钢笔手写体生成工具(PHP) v1.0，php编程学习源码，web网页制作参考资料。-Pen Handwriting generation tools (PHP) v1.0, php programming learning source, web pages reference materials.
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- 钢笔手写体生成工具(PHP) v1.0，php编程学习源码，web网页制作参考资料。-Pen Handwriting generation tools (PHP) v1.0, php programming learning source, web pages reference materials.
gangbi1.0
- 本人五一期间用PHP程序+GD库+TTF字体编写的一款Web版《钢笔手写体生成工具 1.0》。源代码公开。-During May I use PHP program+ GD+ TTF font library written in a Web version of "pen handwritten generation tool 1.0." Open source code.
DigitalRecognition
- c#开发的基于BP神经网络的手写体识别，代码结构清晰，是学习c#和BP神经网络的好资料-C# development of handwriting recognition based on BP neural network, the code structure is clear, is good information to learn c# and the BP neural network
Autoencoder_Code
- 深度学习的手写体代码；最新的仅供参考，很实用-deep learning
ocrrec
- 这次还是课后作业 做的是hopfield的手写体字符识别 识别率对库文件的1能达到90 -This is homework to do is hopfield handwritten character recognition recognition rate for a library file can reach 90
numberRecognise-multi
- 采用c#开发的手写体数字识别-多样本版.rar-Digital Identification- diverse edition rar.
image-processing24
- 模式识别中的手写体识别，首先提取手写字体的特征，比如分块方法-IMAGE PROCESSING AND PATTEN RECOGNITON
asdfgh
- 实现数字识别,径向基神经网络手写体数字的识别准确率高-Digital recognition, RBF neural network handwritten digital recognition accuracy is high
HDR-Using-NN
- 基于神经网络的手写体数字识别,依靠凸点特征、端点特征、二连点特征。-Handwritten Digit Recognition Using Neural Networks
trian
- 手写体的训练样本~~~！适合做手写体识别的训练样本-Training sample handwriting ~ ~ ~! Suitable handwriting recognition training samples ~
hand
- 手写体数字识别开发平台是一个C++源程序代码,集中了图像处理领域绝大部分函数-Handwritten numeral recognition is an C++ development platform source code, most of the focus areas of the image processing function
chapter9
- Visual C++数字图像模式识别典型案例配套光盘 chapter9 手写体数字识别系统-ch9 ok
DigitIdent
- 要求给定数字模式样本(7X9点阵，0-9共10个数字)，设计一BP神经网络进行手写体数字识别。 网络只有一个隐含层，训练样本100个，测试样本300个 -Requirements for a given sample in digital mode (7X9 lattice, a total of 10 figures 0-9), design a BP neural network to recognize handwritten digits. Network has only on
Snake
- 要求给定数字模式样本(7X9点阵，0-9共10个数字)，设计一BP神经网络进行手写体数字识别。 网络只有一个隐含层，训练样本100个，测试样本300个 -Requirements for a given sample in digital mode (7X9 lattice, a total of 10 figures 0-9), design a BP neural network to recognize handwritten digits. Network has only on
ziyoushouxieti
- 文档内容是基于MATLAB的手写体字符识别系统的设计-The content of the document is to design MATLAB handwritten character recognition system based on
Autoencoder_Code
- 深度学习中自动编码器，对象为手写体识别应用，希望可以一同研究学习-Deep Learning AutoEncoder
SVM-handwritten-digits-recognitio
- 介绍了在提取穿越次数特征、粗网格特征以及密度特征提取的基础上应用SVM进行手写体阿拉伯数字识别的方法。-Introduced the extraction across a number of features, coarse grid and density feature extraction on the basis of the application of SVM method for handwritten digits recognition.