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车牌号码识别matlab完整程序实现
- 随这图形图像技术的发展，现在的车牌识别技术准确率越来越高，识别速度越来越快。无论何种形式的车牌识别系统，它们都是由触发、图像采集、图像识别模块、辅助光源和通信模块组成的。车牌识别系统涉及光学、电器、电子控制、数字图像处理、计算视觉、人工智能等多项技术。触发模块负责在车辆到达合适位置时，给出触发信号，控制抓拍。辅助光源提供辅助照明，保证系统在不同的光照条件下都能拍摄到高质量的图像。图像预处理程序对抓拍的图像进行处理，去除噪声，并进行参数调整。然后通过车牌定位、字符识别，最后将识别结果输出。
ANNRecognizer
- C#编写的BP神经网络模型的手写识别器，可以识别数字-C# prepared by the BP neural network model of the handwriting recognizer, you can identify the numbers
nnpractice
- 神经网络手写数字识别。配合美国MNIST标准手写数字字体库-Handwritten digit recognition neural network. With the U.S. standard of handwritten digital font library MNIST
Digit
- MATLAB 神经网络用于数字识别源程序，可以很好的识别数字，Digits Recognition有说明-MATLAB neural network for digital identification of the source code, you can identify the number of good, Digits Recognition described
sj
- MATLAB 神经网络用于数字识别源程序-MATLAB neural network for digital identification of the source code
shuzishibie4
- 这个一个基于MATLAB的手写体数字识别的程序，非常的好用-The MATLAB-based handwritten numeral recognition procedure, very easy to use
shuzishibie
- 数字识别完整的资料、算法研究，包括验证码识别，指纹识别、手写数字识别等，如果你正在研究数字识别方面的问题，相信这些资料对于你来说一定是如鱼得水。-Complete information about the number of identification, algorithm research, including verification code recognition, fingerprint recognition, handwriting recognition and other
sourse
- BP神经元Matlab原程序,实现数字识别功能,可以运行,附有图片,可以下载运行-BPshenjingyuanwangluo,shixianshuzishibiegongneng,huanyingxiazai!
numberrecognize
- 这是一个用matlab实现0到9数字的识别，先生成每个数字的10个模板，再进行数字识别。-This is a matlab implementation to use the identification numbers 0 to 9, sir, as per figures 10 templates, and then for digital identification.
thintwo
- 数字识别，区分图片0到9，共有一百幅图片，一部分用来训练，一部分用来测试-Digit recognition, the distinction between image 0 to 9, a total of one hundred pictures, some for training, in part to test
bp
- BP神经网络的手写数字识别 识别数字为0~-BP neural network recognition of handwritten numeral recognition numbers from 0 to 99
基于概率神经网络的手写体数字识别
- 基于概率神经网络的手写数字识别，利用概率神经网络识别1-9的手写数字，matlab程序(Handwritten numeral recognition based on probabilistic neural network)
BP 0-9识别
- 本程序由matlab编写，以BP神经网络进行0~9十个数字的识别。(This procedure written by MATLAB, BP neural network for 0~9 ten digital identification)
svm手写数字识别
- Python语言实现的SVM手写数字识别(SVM handwritten numeral recognition based on Python language)
语音识别最新
- 用matlab仿真神经网络语音识别系统，里面用的是数字0-9作为训练模板，神经网络匹配模式(use the matlab to simulate word recognition system with neural network)
数字识别
- 手写体识别，包括样本，基于传统神经网络编写，使用MATLAB神经网络工具箱(Handwriting Recognition)
手写数字识别
- 贝叶斯，神经网络等不同算法下的手写数字识别比较并建立了GUI界面可视化(Bias, neural network and other algorithms under the handwritten numeral recognition, comparison and establishment of the GUI interface visualization)
数字识别
- python的keras调用theano创建cnn识别minist手写数字(use keras of python to create cnn to recognize digit wrote by hand)
BP神经网络手写数字识别
- 使用bp神经网络算法识别手写阿拉伯数字图像，三层的误差反馈神经网络，可输出准确率，数据集为60000条数据，每条数据是一张28*28的图片(The BP neural network algorithm is used to recognize handwritten Arabia digital images, and the error feedback neural network of three layers can output the accuracy rate. The data
SpeechRecognition-master
- 基于HMM的语音识别系统，识别数字1~10(Speech recognition system based on HMM and identification of digital 1~10)