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
用MATLAB来实现对车牌的识别。主要通过图像的预处理等来实现车牌的分割,识别等-Using MATLAB to achieve the identification of the license plate. Mainly through the image preprocessing to achieve the license plate segmentation, identification and so on
(系统自动生成,下载前可以参看下载内容)
下载文件列表
matlab杞︾墝璇嗗埆瀹屾暣绋嬪簭
..............................\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.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.m