搜索资源列表
16753552ocr
- Delphi 手写数字识别OCR 可以识别简单的识别码-Delphi OCR
SVM
- 支持向量机（SVM）用于图像处理，包括印章识别，水天线检测，对偶问题与原问题之间的转换，手写数字体识别-the application of SVM in many aspects
NN_Recognition
- 1、输入80乘80的英文手写字母图像，对训练数据进行训练，然后输入测试数据，完成字母识别。 2、txt文档详细说明如何配置、运行，一般情况下可以直接运行成功。 3、主要原理采用神经网络进行手写字母识别，准确率较高。 -1, enter 80 x 80 handwritten English alphabet image, the training data for training, and then enter the test data, complete the letter
hc
- 手写计算器，可以实现手写加减乘除，识别率挺高。matlab2010b及以上版本打开-Handwriting calculator, you can achieve a handwritten addition, subtraction, recognition rate pricey. matlab2010b and later opened. .
moshishibie.matlab
- matlab手写数字识别的简单程序，方便初学测试等-matlab simple handwritten digital identification procedures, facilitate learning and testing
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.
33
- 联机手写数字识别-Line handwriting recognition ......................................
CharRecognization
- 验证码识别参考程序，很好用，手写的也能识别，但是还不能识别扭曲和倾斜的字符。-Verification code identification reference procedures, useful, handwriting can identify, but it does not twist and tilt character recognition.
SvmMNIST
- 通过SVM算法识别MNIST手写数字库，并加入了一些预处理算法，包括数字图像的大小调整归一化等，效果不错。-By SVM algorithm identifies MNIST handwritten digital library and added some preprocessing algorithms, including the size of the digital image adjustment normalized so good results.
number-recognition
- 手写字体的识别，首先进行图像矫正并二值化，然后提取图像的网格特征，使用匹配的方法进行数字识别-number recognition
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
Handwritten-Digit
- 应用KNN和NP算法对MINSET数据库进行手写数字识别-KNN algorithm application and NP MINSET Digital Recognition
Handwritten-numeral-recognition
- 联机手写数字识别 数字通过模拟手写板输入，进行特征提取，发现新特征就通过模板保存起来，通过自带的模板进行神经网络训练，可以进行手写数字识别-On-line handwritten numeral recognition
beiyesigaijin
- 进过改进的贝叶斯分类器算法，识别手写数字，可以在画布内的任意位置手写。-Been to improve Bayesian classifier algorithm, digital handwriting recognition, handwriting can be anywhere within the canvas.
xianxingfenleiqi
- 使用线性分类器，实现手写数字0-9识别。-Using a linear classifier, 0-9 handwriting recognition.
character-recognize
- 使用人工神经网络识别手写字符，有样本有结果，代码可运行-handwriting character recognize with NN
BP-networkmatlab
- BP神经网络实现手写数字识别，使用matlab实现。内有测试数据及实验结果，非常适合入门者使用。绝对超值、值5分。0.99MB的文件下载该文档，你不会吃亏。-BP network matlab
Classify
- 可用于识别手写数字，并有多种算法进行比较其识别正确率-Can be used for recognition of handwritten digits, and a variety of algorithms to compare the recognition accuracy
Handwrittennumeralrecognition
- 利用Delphi编程实现的基于Bayes手写数字识别系统，里面有详尽的源代码，有兴趣可以参考-Delphi programming based on the use of Bayes handwritten numeral recognition system, which has a detailed source code
MYCNN
- 基于CNN的手写文本识别，卷积神经网络模型，并受到深度学习中预训练方式的启发，提出一种类别累加的训练方式，采用这种类别累加方式进行卷积神经网络模型的训练-Handwritten text recognition based on CNN neural network model, convolution, and inspired by the pre training in depth study, put forward a kind of category cumulative train