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[Graph Recognize] 200561555616250020000 DL : 0: 车牌识别系统需要注意的地方：使用VC++6.0做开发工具，采用简单的SDI框架结构，一次处理一幅位图(有兴趣的可以作成MDI) 1）位图信息的数据是从左下往右下为一行，一行一行往上排的。 2）每行像素应该是4的倍数，不足的地方用空点补齐，读的时候注意跳过冗余点。 3）主要数据都存在Doc里面，BMP的主要数据存在一个由ImgData指向的BYTE型的内存空间（根据位图的大小，动态分配的）。 4）数据读进来以后，注意向内存中贴图，以保证刷新的效率。 5)程序执行流程应用程序生成--》打开--》CDipView的OnFileOpen 函数--》调用CDipDoc的FileOpen 函数--》并使用myDoc->UpdateAllViews(NULL) 刷新自动调用CDipView的OnPaint函数--》调用CDipView的OnDraw函数----一个像素点一个像素点的画 //+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ 比较重要的地方读BMP文件，只能打开256色（可以是灰度）显示和内存贴图技术关于调色板：调色板实际上是一个数组，4个BYTE 分别是 B,G,R,和 Reserved 每一个像素点都有一个相应的数组。-LPR system needs to the attention of the local : VC 6.0 do use development tools, SDI simple frame structure, handling a bitmap (interested can make MDI) 1) bitmap data is the information from the right and the left for his , and his party up his platoon. 2) pixels per line should be in multiples of four, the inadequacies of the points are filled with empty, Reading, the point to skip redundant. 3) key data exists inside Doc. BMP key data on the existence of a ImgData BYTE directly to the type of memory space (according to the Bitmap a small, dynamic allocation). 4) Data Reading come after, pay attention to the memory mapping, in order to ensure high efficiency. 5) implementation of procedures for application generation process -- "Open --" the OnFileOpe CDipView n Functions -- &
Update : 2008-10-13 Size : 227.77kb Publisher : yanglin
[Graph Recognize] 200561555616250020000 DL : 0: 车牌识别系统需要注意的地方：使用VC++6.0做开发工具，采用简单的SDI框架结构，一次处理一幅位图(有兴趣的可以作成MDI) 1）位图信息的数据是从左下往右下为一行，一行一行往上排的。 2）每行像素应该是4的倍数，不足的地方用空点补齐，读的时候注意跳过冗余点。 3）主要数据都存在Doc里面，BMP的主要数据存在一个由ImgData指向的BYTE型的内存空间（根据位图的大小，动态分配的）。 4）数据读进来以后，注意向内存中贴图，以保证刷新的效率。 5)程序执行流程应用程序生成--》打开--》CDipView的OnFileOpen 函数--》调用CDipDoc的FileOpen 函数--》并使用myDoc->UpdateAllViews(NULL) 刷新自动调用CDipView的OnPaint函数--》调用CDipView的OnDraw函数----一个像素点一个像素点的画 //+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ 比较重要的地方读BMP文件，只能打开256色（可以是灰度）显示和内存贴图技术关于调色板：调色板实际上是一个数组，4个BYTE 分别是 B,G,R,和 Reserved 每一个像素点都有一个相应的数组。-LPR system needs to the attention of the local : VC 6.0 do use development tools, SDI simple frame structure, handling a bitmap (interested can make MDI) 1) bitmap data is the information from the right and the left for his , and his party up his platoon. 2) pixels per line should be in multiples of four, the inadequacies of the points are filled with empty, Reading, the point to skip redundant. 3) key data exists inside Doc. BMP key data on the existence of a ImgData BYTE directly to the type of memory space (according to the Bitmap a small, dynamic allocation). 4) Data Reading come after, pay attention to the memory mapping, in order to ensure high efficiency. 5) implementation of procedures for application generation process-- "Open--" the OnFileOpe CDipView n Functions-- &
Update : 2025-02-17 Size : 228kb Publisher : yanglin
[Graph Recognize] chePaiShiBie DL : 0: 这是一个基于GPL的开放源代码的车牌识别核心-This is a GPL-based open-source core of the License Plate Recognition
Update : 2025-02-17 Size : 1.43mb Publisher : 吴坤
[Special Effects] lpr DL : 0: TRY2LPR-1.0开源的车牌识别核心.rar 识别率虽然不是高，但是里面很多算法可以参考。这个是我从别的地方下载下来的。。我自己的车牌识别定位就是参考这个做的。但是效果比这个好很多- TRY2LPR-1.0 open-source license plate recognition core. Rar The recognition rate is not high, but there are many algorithms can refer. This I downloaded from somewhere else. . My license plate recognition reference to this position is done. But the effect is much better than this
Update : 2025-02-17 Size : 2.16mb Publisher : 刘飞
[Multimedia Develop] opencv-lpr DL : 0: 基础开源计算机视觉库项目的一种快速车牌定位，车牌识别，MFC开发的非常好用的源码及程序！-Open Source Computer Vision Library project basis a fast license plate location, license plate recognition, MFC developed a very useful source code and program!
Update : 2025-02-17 Size : 11.82mb Publisher : lynnlase
[Special Effects] lpr-system DL : 0: 1.先打开一幅图片然后按照顺序灰度化、二值化、灰度拉伸、车牌定位、二值化、倾斜校正、字符分割、训练神经网络、识别字符。 2.测试图像存储在当前目录的img下。 3.测试集、训练集、目标向量均存储在img下的文本文件中。-1. Open a picture first and then according to the order gray, binarization, gray stretching, license plate localization, binarization, tilt correction, character segmentation, neural network training, identification character. 2. Test img image is stored in the current directory. 3. The test set, the training set, the target vectors are stored in a text file under the img.
Update : 2025-02-17 Size : 1000kb Publisher : lzewen10
[Windows Develop] openalpr_master DL : 0: Open Lpr Source Code.
Update : 2025-02-17 Size : 1.95mb Publisher : chiresibid