搜索资源列表
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
USPS字库
这是美国usps邮政系统收集的手写字库，是现在手写数字样本的权威。USPS字库
联机手写字符识别VC代码
- 手写数字识别的VC代码
Write Num Identify
- 联机手写数字识别的全部源码,主要用到了图像处理和模式识别的知识，大家参考一下哟！-Online descr ipt number recognition with all code.Mainly used the knowledge of image disposes.
Num_ocr_bp
- 手写数字字符识别的神经网络方法-Handwritten Character Recognition neural network
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 t
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.
14.SVM(代码)
- 用SVM在python平台实现手写数字的识别(using the algorithm of SVM to recognition of handwritten numerals on python)
Classify handwriten digits
- python下CNN手写数字识别CNN Classify handwriten digits(CNN Classify handwriten digits)
simplecharrec(III)-update
- 基于PCA和BP网络的手写数字字符的识别(Recognition of handwritten numeric characters based on PCA and BP networks)
matlab
- 基于BP神经网络手写数字识别，main函数是主函数，识别的成功率在86%左右。(Based on the BP Neural Network handwritten digital recognition, the main function is the main function, and the recognition success rate is about 86%.)
Hand_num
- 基于神经网络及GUI触摸板的手写数字识别，基本的机器学习例子(Handwritten numerals recognition based on neural network and GUI touch board, basic machine learning examples)
tensorboard
- tensorflow手写数字识别，提高识别的准确率(Tensorflow handwritten numeral recognition, improve the accuracy of recognition.)
cnn
- 手写数字识别的简单实现，CNN入门到深入，三个版本供读者使用。(Simple Implementation of Handwritten Number Recognition, Getting Started with CNN)
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))
CNN
- 手写数字识别的数据集 matlab实现cnn(Data Set for Handwritten Number Recognition Realization of CNN in matlab)
手写数字识别
- 运用卷积神经网络进行特征提取，然后进行分类(Using convolution neural network to extract features and classify them)
实验四
- LeNet神经网络 手写数字识别 下载数据集代码 数据集下载完成的(Handwritten Number Recognition Based on LeNet Neural Network)
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)