搜索资源列表
The_handwritten_numeral
- 这是联机字符识别的联机手写数字识别的源代码。-This is the on-line Character Recognition on-line handwriting recognition digital source.
off_line_recognition
- 模式识别中的脱机字符识别，包括手写数字识别之Fisher线性判别，手写数字识别之模板匹配法，数字识别之神经网络法及细化算法。-pattern recognition of Offline Character Recognition, including handwritten digital identification Fisher Linear Discriminant. Handwritten identification template matching, digital identi
1234
- uci机器学习数据库关于字符识别的源数据。是字符识别的研究的关键数据来源。包括手写字体和印刷体两类，手写的数字和印刷体的字母。-uci machine learning database on the source character recognition data. Character recognition research is the key source of data. Including two types of handwriting fonts, and print, han
shibie
- 联机字符识别系统，用VC++6.0编写，可以识别手写汉字，英文字母和数字.-shi bie
bpshuzishibie
- 采用神经网络实现数字识别，可用于车牌识别以及手写字符识别中-number recognize use BP network
handwritten-character-recognition
- 基于深层网络学习的手写字符识别，识别率高-Handwritten character recognition based on deep network learning, the recognition rate
pattern-recognition
- 手写字符识别，首先实现做一个界面，然后在界面里里面进行手写字符识别-Handwritten character recognition, the first to make an interface for handwritten character recognition, and then inside the interface
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- 手写字符识别，使用svm 支持向量机和 knn最近邻分类器-Handwritten character recognition using svm SVM and knn nearest neighbor classifier
Handwritten-Character
- 基于CNNs的手写字符识别系统，载入MNIST手写字符数据库，通过训练提取特征，达到99 的识别率-Based on CNNs handwritten character recognition system, load MNIST handwritten character database, extract features through training, up to 99 recognition rate
VCPP6.0-Pattern-recognition-program
- l利用VC++6.0实现的手写字符识别的程序，是模式识别的一个例子-Recognition of handwritten characters
CNNS
- 这个程序旨在把卷积神经网络算法应用于手写字符识别。程序有几种结构的神经网络可以通过比较不同结构而得到对识别率的影响。-This program is designed to put the convolutional neural network algorithm is applied to the handwritten character recognition. The structure of the program there are several kinds of neural
Distortion
- 这是利用神经网络来实现手写字符识别，起准确率已经达到99.26 ，可以继续调整参数达到更深层次的效果。需要自己搭建opencv环境。后期工作可以利用cuda对其更深层次的加速-This is achieved using a neural network handwritten character recognition, since the exact rate has reached 99.26 percent, can continue to adjust the parameters t
CNN
- 用 卷积神经网络进行手写字符 识别,内含mnist训练集-Handwritten character recognition, containing mnist convolution neural network training set
rnnlib.tar
- RNNLIB可以用来做语音识别、手写字符识别。由大牛Alex Graves编写，专门做RNN、LSTM的研究。他的主页是http://www.cs.toronto.edu/~graves/-RNNLIB is a recurrent neural network library for sequence labelling problems, such as speech and handwriting recognition.
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.
machine-learning-ex4
- Andrew Ng Cousera 机器学习课程神经网络手写字符识别，源代码以及说明文档(Andrew Ng Cousera 's Machine learning courses, Neural Network handwritten character recognition, source code and documentation)
code&doc
- 基础的卷积神经网络代码，实现mnist手写字符识别，含中文文档说明(Basic CNN code, including detailed annotation in Chinese)
qiege
- 图像处理，手写数字识别，手写字符串的分割(Segmentation of handwritten strings)
Lenet
- 卷积神经网络（lenet_5）代码,用于手写字符识别(code of convolutional neural network for handwork characterisic recognation)
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)