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调制识别MPSK MFSK MASK AM DSB USB LSB FM
- 模拟各种调制模式，在信道模型下进行相关识别(Simulation of various modulation modes and correlation recognition under channel model)
EasyPR-master
- 能够有效从自然环境中定位以及识别车牌，利用人工神经网络ANN，进行数字识别，识别率达到90%(The ability to locate and identify the license plate effectively from the natural environment)
License-Plate-Recognition-by-MATLAB-master
- 对于不同的数字字符进行不同的特征点的选取以及对于不同的字符做到精准的识别(The selection of different feature points for different numeric characters and accurate recognition for different characters)
shuzishibie
- 识别0-9数字，通过垂直线方法识别0-9数字(Identify 0-9 numbers and identify 0-9 numbers through a vertical line method)
电脑自带摄像头完成的1-5数字手势识别
- 启动电脑外接USB摄像头， 完成的1-5数字手势识别(Start the computer to connect the USB camera to the 1-5 digital gesture recognition)
数字图像处理—冈萨雷斯matlab程序
- 对图像进行识别，分类。同时对图像压缩，形态学图像处理，图像分割产生很好的效果。(Recognition and classification of images)
车牌识别
- 用于提取并识别出车牌号，可以区分数字和字母(Used to extract and identify the number of the license plate, which can distinguish between numbers and letters)
936991729Handwriting-recognition
- matlab 应用图像处理知识，实现对数字的识别，识别率高(Matlab applies the knowledge of image processing to realize the recognition of the numbers and the high recognition rate)
电话拨键号码识别
- 数字信号处理课程中，电话拨键号码识别的实现程序(The realization program of telephone key number recognition in digital signal processing course)
手写数字样本
- 关于手写数字的两个样本库，可利用多种语言进行图片的识别处理。(Two sample libraries for handwritten numbers)
ml-handwritten-digit-recognition-master
- 手写体数字（0-9）使用MATLAB图像识别的机器学习(Handwritten digit (0-9) recognition from images using machine learning in matlab)
my_cnn.tar
- 用卷积神经网络实现手写数字识别，数据集为mnist数据集(Convolution neural network is used to realize handwritten numeral recognition. Data set is MNIST data set.)
Recognition
- 编写基于matlab，对手写字符识别可以达到90%的识别率。(Based on MATLAB, the recognition rate of handwritten character can reach 90%.)
KNN
- 利用KNN算法识别手写数字，zip内包含训练数据集和测试数据集(This is a handwriting number recognition demo using kNN algorithm)
Main
- 使用opencv图像库,识别数码管图片中的数字(Identify numbers in digital tube pictures)
手写数字识别
- 通过训练图片中数字0~9，跟着通过手写输入识别出所写数字的类别。(By training the number of 0~9 in the picture, we can identify the category of the written number followed by handwritten input.)
UCI的光学字符识别数据集
- 其目标是将大量黑白矩形像素显示器中的每一个识别为英文字母中的26个大写字母之一。字符图像基于20种不同的字体，并且这20种字体中的每个字母随机失真以产生20,000个独特刺激的文件。每个刺激被转换成16个基本的数字属性（统计矩和边缘计数），然后将其缩放以适合从0到15的整数值范围。我们通常在前16000个项目上进行训练，然后使用结果模型预测剩余的4000个字母类别。请参阅上面引用的文章以获取更多详细信息。(The objective is to identify each of a large
基于libsvm的手写字体识别
- 对于0到9这十个手写体数字进行识别，针对不同字形的手写体数字进行预处理(For 0 to 9, the handwritten Numbers are identified, and the handwritten Numbers of different glyphs are pretreated.)
matlab中文字符的识别代码
- 基于BP人工神经网络的数字字符识别及MATLAB实现。(Digital character recognition and MATLAB implementation based on BP artificial neural network.)
语音识别源代码
- 利用Matlab完成数字1-9的语音识别(Using Matlab to complete the speech recognition of digital 1-9)