carcard Executable
1. Prerequisites for Deployment
Verify that version 9.10 (R2021a) of the MATLAB Runtime is installed.
If not, you can run the MATLAB Runtime installer.
To find its location, enter
>>mcrinstaller
at the MATLAB prompt.
NOTE: You will need administrator rights to run the MATLAB Runtime installer.
Alternatively, download and install the Windows version of the MATLAB Runtime for R2021a
from the following link on the MathWorks website:
https://www.mathworks.com/products/compiler/mcr/index.html
For more information about the MATLAB Runtime and the MATLAB Runtime installer, see
"Distribute Applications" in the MATLAB Compiler documentation
in the MathWorks Documentation Center.
2. Files to Deploy and Package
Files to Package for Standalone
================================
-carcard.exe
-MCRInstaller.exe
Note: if end users are unable to download the MATLAB Runtime using the
instructions in the previous section, include it when building your
component by clicking the "Runtime included in package" link in the
Deployment Tool.
-This readme file
3. Definitions
For information on deployment terminology, go to
https://www.mathworks.com/help and select MATLAB Compiler >
Getting Started > About Application Deployment >
Deployment Product Terms in the MathWorks Documentation
Center.
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项目详情请参见:https://handsome-man.blog.csdn.net/article/details/130412973 本项目通过对拍摄的车牌图像进行灰度变换、边缘检测、腐蚀及平滑等过程来进行车牌图像预处理,并由此得到一种基于车牌颜色纹理特征的车牌定位方法,最终实现了车牌区域定位。车牌字符分割是为了方便后续对车牌字符进行匹配,从而对车牌进行识别。 车牌定位与字符识别技术以计算机图像处理、模式识别等技术为基础,通过对原图像进行预处理及边缘检测等过程来实现对车牌区域的定位,再对车牌区域进行图像裁剪、归一化、字符分割及保存,最后将分割得到的字符图像输入训练好的神经网络模型,输出匹配结果。 本项目以BP神经网络模型为基础,属于误差后向传播的神经网络,是神经网络中使用最广泛的一类,通过输入层、隐层和输入层三层网络的层间全互联方式,具有较高的运行效率和识别准确率。 项目代码可顺利编译运行~
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MATLAB实现车牌识别【图像处理实战】 (297个子文件)
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engin-time-camera-Snapshot-20220525142920-216388667486.BMP 900KB
26.BMP 76KB
13.BMP 71KB
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CPGUI.BMP 51KB
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