文件名称:matlabchepaishibie
介绍说明－－下载内容均来自于网络，请自行研究使用
本代码是用MATLAB编写的用于车牌识别的程序，里面有多幅测试图像，识别准确率比较高，对初学者很有参考价值-This code is written using MATLAB for license plate recognition program, which has multiple test image, the recognition accuracy rate is relatively high, a good reference for beginners
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下载文件列表
matlab车牌识别完整程序
......................\character_segmentation.m
......................\cleanScreen.m
......................\cut_bw_img.m
......................\display_picture.m
......................\draw_lines.m
......................\extract_LP.m
......................\extract_yellow_region.m
......................\find_angle.m
......................\find_optimal_threshold.m
......................\global_var.mat
......................\go.asv
......................\go.m
......................\horizontal_crop.m
......................\images
......................\......\car.jpeg
......................\......\im0.jpg
......................\......\im1.jpg
......................\......\im10.JPG
......................\......\im11.JPG
......................\......\im12.jpg
......................\......\im13.JPG
......................\......\im14.JPG
......................\......\im15.JPG
......................\......\im16.JPG
......................\......\im17.jpg
......................\......\im18.JPG
......................\......\im19.jpg
......................\......\im2.jpg
......................\......\im20.jpg
......................\......\im21.JPG
......................\......\im22.jpg
......................\......\im23.jpg
......................\......\im24.JPG
......................\......\im25.JPG
......................\......\im26.JPG
......................\......\im27.JPG
......................\......\im28.JPG
......................\......\im29.jpg
......................\......\im3.jpg
......................\......\im30.JPG
......................\......\im31.JPG
......................\......\im32.JPG
......................\......\im33.jpg
......................\......\im34.JPG
......................\......\im35.JPG
......................\......\im36.jpg
......................\......\im37.JPG
......................\......\im38.jpg
......................\......\im39.jpg
......................\......\im4.jpg
......................\......\im40.JPG
......................\......\im41.jpg
......................\......\im42.JPG
......................\......\im43.jpg
......................\......\im44.jpg
......................\......\im45.jpg
......................\......\im5.jpg
......................\......\im6.JPG
......................\......\im7.jpg
......................\......\im8.jpg
......................\......\im9.jpg
......................\......\Thumbs.db
......................\internal_images
......................\...............\black.jpg
......................\...............\Thumbs.db
......................\...............\title.jpg
......................\...............\title2.JPG
......................\...............\title3.jpg
......................\...............\title4.jpg
......................\net.mat
......................\OCR.m
......................\plot_vector.m
......................\quantizeImage.m
......................\run.asv
......................\run.m