搜索资源列表
hand_charactor3
- 一个手写字体的文字识别程序，包含简单的程序说明-a handwritten font identification procedures to the letter, including a simple descr iption of the process
handWritingRecoginition
- Java编写的手写数字识别器。可以识别一般人的手写数字字体，识别率达到80％。
TextRecognition
- VISUAL BASIC语言编写的手写OCR识别软件。提供数字和英文字母识别，识别率在90 以上。并可切换字体。-VISUAL BASIC language OCR handwriting recognition software. Provide numbers and letters recognition, the recognition rate of 90 or more. And switching fonts.
Handwritten-digital-identification
- 手写数字识别程序 1、 在左边的白色框中长按鼠标左键手动输入数字，数字最大个数小于10个； 2、 输入的每个数字要求是连续的； 3、 两个不同数字之间不要出现笔画重叠； 4、 输入数字的速度不要太快（视个人计算机速度而定）； 5、 输入字体不要太小； 6、 识别结果按照手写数字从左到右依次排列。 -Handwritten numeral recognition program, in the left white box, long click the left mo
NumberRecognize
- 根据RBM深度网络（Hinton，2006）进行MINST手写文字的分类器的训练，利用训练得到的权值制作了这个小程序，通过这个程序可以看出训练结果对数据集内的测试样本和训练样本都能进行很好的识别，但是对其他的手写字体识别就没有那么好了。-According to RBM depth network (Hinton, 2006) conducted MINST handwritten text classifier training, using the training to get the r
Handwritten-numeral-recognition
- 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。-to realize the recognition of handwritten font, using hierarchical neural network artificial intelligence, to identify fonts through training and learning, to identify the handwriting function.
chapter19
- 基于SVM的手写字体识别 -SVM-based handwriting recognition
image-processing24
- 模式识别中的手写体识别，首先提取手写字体的特征，比如分块方法-IMAGE PROCESSING AND PATTEN RECOGNITON
probabilistic-neural-network
- 利用基于概率的神经网络识别算法，进行手写字体的识别。-By using the neural network recognition algorithm based on probability,recognition of handwritten font.
RecognitionUsingLibsvm
- 手写字体识别有着广泛的应用，本代码是基于SVM的手写字体识别-Handwriting recognition has been widely used, the code is based on handwriting recognition SVM
main
- 采用遗传算法和支持向量机（svm）编写的手写字体识别算法，基于matlab-Handwriting recognition algorithm using genetic algorithms and support vector machine (svm) written on matlab
CNN
- 此代码是对卷积神经网络用于手写字体识别的实现，程序是基于theano库开发的，并且用到了集成化模块keras,方便我们构建自己的网络结构，很好的解决分类问题-This code is the convolution neural network for handwritten character recognition, the program is based on the theano library development, and use the integrated modular k
chapter19
- 基于SVM的手写字体识别,简单介绍SVM的应用-SVM handwriting recognition based applications briefly SVM
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
svm
- 基于LIBSVM的matlab手写字体识别-A handwritten font recognition based on SVM
shouxieziti
- 模式识别，对10个数字手写字体的测试与训练。(Pattern recognition, testing and training of 10 digital handwritten fonts.)
lenet_iter_10000
- caffe-windows mnist 训得到的模型，可用于手写字体识别(Caffe-windows MNIST training model can be used for handwritten font recognition)
BP_mnist
- BP网络实现手写字体识别。压缩文件包含mnist数据集，直接在pycharm运行BPNetwork.py文件，输出测试集识别结果和测试精度。(Handwritten recognition based on BP network. The compressed file contains the MNIST data set, runs the BPNetwork.py file directly in the pycharm, outputs the test set, identifies
cnn
- matlab卷积神经网络cnn，用于手写字体识别或者其他都可以(matlab cnn For handwritten font recognition or anything else)
BP神经网络实现手写数字识别matlab实现
- 基于BP神经网络对几种字体0-9的数字识别(MATLAB)(Digital Recognition of Several Fonts 0-9 Based on BP Neural Network (MATLAB))