搜索资源列表
SmartDeviceProject7
- WinCE上，在应用程序中调用输入法。本程序调用的是手写输入法。-WinCE on call in the application input. This procedure is called handwriting input method.
bp
- BP神经网络的手写数字识别 识别数字为0~-BP neural network recognition of handwritten numeral recognition numbers from 0 to 99
NumRecognition
- 用改进的BP算法实现手写数字识别，并带有GUI界面，是一个很不错的手写数字识别系统。-Improved BP algorithm with handwritten numeral recognition, and with a GUI interface, is a very nice handwritten numeral recognition system.
shouxie
- 网站手写输入源文件~~很不错的，类似汉王！-Site handwriting input source file
手写数字识别 matlab
- 手写数字识别 matlab，用于进行数字识别，是机器学习现在的热门话题
自适应推进算法
- 手写的adaboost算法。效率没有sklearn高，不过可以作为学习资料(Handwritten AdaBoost algorithm. The efficiency is not sklearn high, but it can be used as learning material)
readMNIST
- 用ELM实现手写数字的识别，快速，用MNIST数据库(Handwritten numbers recognition realized by ELM)
kmean
- 通过编写Kmeans算法识别自己的手写数字0——9个数字(Through the preparation of Kmeans algorithm to identify their handwritten numbers 0 - 9 numbers)
基于概率神经网络的手写体数字识别
- 基于概率神经网络的手写数字识别，利用概率神经网络识别1-9的手写数字，matlab程序(Handwritten numeral recognition based on probabilistic neural network)
易语言的那些事
- 纯手写HOOK +模块 纯手写HOOK +模块(Pure handwritten HOOK)
8fangx
- 在联机手写中文识别中一种针对8方向特征提取的改进算法(In online handwritten Chinese character recognition, an improved algorithm for feature extraction in 8 directions is proposed)
jiyushiliang
- 基于矢量特征编码的手写字符识别技术_任民宏(Handwritten character recognition based on vector feature coding)
HandWriteOCR
- 手写汉字识别程序，包含训练和检测两部分，基于mnist库做训练和测试(Handwritten Chinese character recognition program, including training and testing of two parts)
codecnnMNIST
- 用cnn卷积神经网络实现对mnist手写库的识别(mnist classfication with convolution neural network)
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
stm32手写识别实验
- 可以利用stm32的彩屏进行手写文字的输入，方便快捷。(Can be handwritten text input using the STM32 color screen, convenient and quick.)
手写识别实验
- stm32f4手写设置，运行与测试等，开发平台KEIL,希望对大家有帮助(Stm32f4 handwriting settings, running and testing, development platform KEIL, we want to help)
neuralnetwork-sample
- 由java编写的，具有gui界面的，手写数字识别神经网络示例(Written by Java, with GUI interface, handwritten numeral recognition neural network examples)
train-labels-idx1-ubyte
- 用于手写数字识别的训练数据（标签） 数据格式：前32位为2049，再32位为数据数量，之后每一位都是标签值(Training data (tags) for handwritten digit recognition)
t10k-labels-idx1-ubyte
- 用于手写数字识别的预测数据（标签） 数据格式：前32位为2049，再32位为数据数量，之后每一位都是标签值(Predictive data (tags) for handwritten numeral recognition)