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RBF-HWR
- 对手写数字进行识别，将图像分为25块，计算每一块的空白部分所占比例，训练RBF网络-Handwritten digital identification, the image is divided into 25 to calculate the proportion of each piece of blank portion of training RBF network
ECLIPSE
- android 模仿windows 自制画板 Android 随手势滑动销毁（finish）Activity Android-Material-circular-button图片切换和按钮联动效果 Android的graphics绘制了印章图像 android电子签名，屏幕上手写签名 Android截图,圆形,Canvas android实现的公章效果 Android手写签名-Android imitatio
MNIST_classify
- 使用决策树，支持向量机以及人工神经网络完成对MNIST手写数字体的分类。-Using a decision tree, support vector machines and artificial neural network to classify the number of MNIST handwritten font.
TestCopybookDetect
- 基于深度学习的手写体汉字识别，所用框架为Mxnet框架-Handwritten Chinese character recognition
MNIST(tensorflow)
- 基于tensorflow的手写识别，训练后可以识别手写数字-Based on tensorflow handwriting recognition, training can identify handwritten numbers
CNN
- 这个代码主要是研究手写数字的识别效率，用卷积神经网络算法来实现，用的是官方手写字体数据，能够显现百分之九十以上的识别率。-Used for convolution neural networks to identify handwritten numbers
BPshouxieshuzishibie
- 基于BP神经网络的手写数字识别，总共有三个程序，分别是建立样本，进行训练，最后是检验测试-Based on the BP neural network handwritten numeral recognition, a total of three procedures, namely, the establishment of samples, training, and finally test
53607888mnistclassify_DBN
- 目前深度学习已经得到研究者的广泛关注，在这里深信度网络被用于手写字符的识别，得到非常好的分类精度。-Currently deep learning has been much attention, here we are convinced of the network is used to identify handwritten characters, get very good classification accuracy.
number-recognitionP
- 基于matlab利用BP神经网络开发的手写数字识别，正负样本为分别为1000张，手写数字是minist库-Based on BP neural network matlab developed handwritten numeral recognition, positive and negative samples were 1000, handwritten digital library is minist
jtheer110
- 是基于php+sql开发的，本博客系统由本人独立完成，底层代码全部手写完成的，没有使用php框架。还有很多功能，会在后面慢慢完善。-Php+sql is based on the development of the blog system by my own independent, the underlying code all handwritten, not using the PHP fr a mework. There ar
text_line_extraction_code
- 一个国际会议的历史文档文本行提取的程序，对研究少数民族文档的识别有帮助，可以学习，可以切分倾斜 手写的文字-An international conference of the historical document line of the line of the extraction process, the study of the identification of minority documents helpful, you
ModifyListmain
- HP handwritten source, the content is huge, can be part of the study reference
CNN
- CNN learning 手写数字识别 神经网络-CNN learning handwritten numeral recognition neural network
AlexNet
- 基于AlexNet模型的手写数字识别，用Tensorflow实现，可直接运行，准确率达到98 以上-Model based AlexNet handwritten digit recognition, implemented Tensorflow, can be run directly, the accuracy rate of more than 98
CNN
- 用卷积神经网络实现的手写数字识别（minst）,可直接运行，识别率较高。用Tensorflow实现-Handwritten digital recognition (minst) with convolution neural network can be run directly and the recognition rate is high. Implemented with Tensorflow
ann
- 用简单神经网络(CNN)实现的手写数字识别(minst),可直接运行，用的是Tensorflow框架，通过该例程可以掌握Tensorflow基本用法-With a simple neural network (CNN) to achieve the handwritten numeral recognition (minst), can be run directly, using the Tensorflow fr a mework,
colorReduce
- 简单的用于识别手写数字，先对数字进行特征提取，灰度化，二值化，特征提取-Simple to identify handwritten numbers, the first of the digital feature extraction, grayscale, binarization, feature extraction
matlab1
- matlab实现的手写数字识别，准确率高，给力！-Matlab implementation of handwritten numeral recognition, high accuracy, awesome!
11
- 手写体识别_模板匹配识别方法,通过matlab实现基于神经网络的手写数字识别-Handwriting recognition _ template matching method, the matlab implementation of handwritten digit recognition based on Neural Network
NLP
- Tensorflow框架下的手写数字识别-In recognition of handwritten numerals fr a me Tensorflow