搜索资源列表
LJsbcodes
- VC++数字、英文字符、汉字及手写识别实例-VC++ Figures, English characters, Chinese characters and examples of handwriting recognition
shuzishibie
- 一个数字识别小程序，针对图片中的数字，进行提取操作，这是一个朋友的作品-A number identifying a small program for the picture of the number of extraction operation, which is a friend' s work
5，ATKNCR(数字字母手写识别库)
- 数字字母手写识别库 可用于显示数字字母等(Digital alphabet handwriting recognition library)
MNIST
- MNIST手写体数字识别库及图片提取代码MNIST手写数字库识别实现摘要手写数字识别是模式识别的应用之一。文中介绍了手写数字的一些主要特征,并提出了截断次数特征并利用截断次数特征进行了实验(MNIST handwritten digital identification library and picture extraction code MNIST handwritten numeral library identification implementation summary Handwr
手写体数字识别系统
- 用神经网络准确实现手写体数字的识别，很实用(Neural network to achieve handwritten numeral recognition, very practical)
opencv 的手写数字字符识别
- 基于opencv 和机器学习方法的手写数字字符识别(Handwritten numeral character recognition of opencv)
MNIST
- 简单的手写数字识别，在深度神经网络中的简单尝试，对于初学者有个很好的理解(Simple handwritten numeral recognition, in the depth of neural network simple attempt, for beginners have a good understanding)
Captcha-Recognizer-master
- 简单数字识别系统用于数字的识别 bin obj Properties FrmMain.cs FrmMain.Designer.cs FrmMain.resx GetCode.cs GetCode.csproj GetCode.csproj.user(bin obj Properties FrmMain.cs FrmMain.Designer.cs FrmMain.resx GetCode.cs GetCode.csproj GetCode.csproj.user
mnist
- 深度学习时间手写数字识别，使用python和tensorflow实现(Handwritten numerals recognition in depth learning time)
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)
text1
- 用SVM进行数字识别，不过成功率不是特别高(Using SVM for digital recognition)
bpnn
- 用Python3实现BP神经网络对MNIST数字手写体识别，下载就能用(Using Python3 to implement BP neural network for MNIST digital handwriting recognition, download can be used)
调制识别MPSK MFSK MASK AM DSB USB LSB FM
- 模拟各种调制模式，在信道模型下进行相关识别(Simulation of various modulation modes and correlation recognition under channel model)
基于机器学习的手写数字识别
- 基于Python机器学习的手写数字识别 基于Python机器学习的手写数字识别(Handwritten digit recognition based on Python machine learning Handwritten digit recognition based on Python machine learning)
digit_recognizer[1]
- python SVM(支持向量机)实现手写数字识别(SVM realization of digital recognition)
手写数字样本
- 关于手写数字的两个样本库，可利用多种语言进行图片的识别处理。(Two sample libraries for handwritten numbers)
基于STM32的数字字符识别
- 基于stm32和ov7670的数字字符识别(Digital character recognition based on STM32 and ov7670)
R语言 svm 手写数字识别
- 用R语言写的手写数字识别算法（svm 方法）(Handwritten numeral recognition algorithm written in R language (SVM method))
1111
- 基于PCA的手写数字识别源码，内附有说明文件，非常清晰！运行环境：matlab。(Handwritten digital character recognition based on PCA and BP network)
BP_mnist_UI-master
- 基于BP神经网络的手写数字识别，有完整代码(based image segmentation algorithm)