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- 手写数字识别对已有图像预处理，二值化，放大尺寸-Handwritten Number Recognition Pre-processing, binarizing, and enlarging the size of an existing image
GMM
- gmm_em算法，可用于手写数字识别，供初学者参考。-Gmm_em algorithm and can be used for handwritten numeral recognition, for beginners reference.
5.SVMshuzishibie
- 本实验中将应用支持向量机算法对一些手写的数字进行识别。MATLAB程序-In this experiment, we will use support vector machine algorithm to recognize some handwritten numbers. MATLAB program
sve
- 这是关于支持向量机的手写字体识别，其中手写字体是0-9一共10个数字，每张数字有5张不同角度的照片-It s all about support vector machine (SVM) of handwriting recognition, handwriting is 0-9, a total of 10 Numbers each number five pictures of different angles
handwritten-numeral-recognition
- 本案例描述了图像中手写阿拉伯数字的识别过程，对手写数字识别的基于统计的方法进行简要介绍和分析，并通过开发一个小型的手写体数字识别系统来进行实验。手写体数字识别系统需要实现手写数字图像的读取功能、特征提取功能、数字的模板特征库的建立功能及识别功能-This case describes the image recognition process handwritten Arabic numerals, a brief descr iption and analysis of the handwri
1
- 本人的课程设计，题目是基于视频的手写数字识别，大家可以参考参考，采用opencv2.4.8进行开发。-curriculum design, the title is based on the handwritten digital video recognition, we can refer to the reference, the use of opencv2.4.8 for development.
handwritten
- 一种基于RBF、BP神经网络手写数字识别的方法，里面包含GUI界面，方便理解，代码注释详细-One kind of RBF, BP neural network handwritten numeral recognition based method, which contains GUI interface, easy to understand, detailed code comments
stm32handwriting
- 嵌入式STM32F407ZGT6手写输入识别源码，数字和英文字母-翻译 嵌入式STM32F407ZGT6手写输入识别源码，数字和英文字母 32/5000 Embedded STM32F407ZGT6 handwriting recognition to identify source code, numbers and English letters
hand-written-numeral-recognition
- 手写数字识别，连续手写数字的识别，BP神经网络-hand-written numeral recognition
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
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 can learn, you can cut the han
2.source_code
- 基于决策树的手写字符识别，动态识别输入的笔画顺序，位置等，类似于在线字符识别，具有较高的准确率。可以在QT打开。-handwriting charactor recognition based on random forests.
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 framework, through the routine can master
codes
- 手写数码（0到9）识别的神经网络框架。附有数据训练集和测试集。采用随机梯度下降的BP算法。可以修改参数，加入drop out和动量法。-Digital handwriting (0 to 9) of the neural network recognition framework. With training and test data sets. BP algorithm using stochastic gradient descent. Parameters can be modified