车牌识别

gaohaikuo1

1. clc;
   
2. clear all
   
3. %载入模板字符，并变为指定大小
   
4. modes = [];
   
5. for i = 0:9
   
6.     modes = [modes,num2str(i)];
   
7. end
   
8. for i = 97:122
   
9.     modes = [modes,char(i)];
   
10. end
    
11. modes = [modes,'鲁','陕','苏','豫'];
    
12. sets = [];
    
13. for i = 1:length(modes)
    
14.      I_gray = imread(['.\modes\',modes(i),'.jpg']);
    
15.      I1 = imresize(I_gray,[40,20]);
    
16.      sets(:,:,i) = I1;
    
17. end
    
18. %逐个读取分割后的字符
    
19. results = [];
    
20. for j = 1:7
    
21. I_obj = imread([num2str(j),'.jpg']);
    
22. %将目标字符和模板字符变成同样大小
    
23. I1_obj = imresize(I_obj,[40,20]);
    
24. %将目标字符和所有模板字符相减后，求模
    
25. errs = [];   
    
26. for i = 1:length(modes)
    
27.       errs = [errs, norm(double(I1_obj)-sets(:,:,i))];
    
28. end
    
29. %找到最小模对应的模板字符，即为识别结果
    
30. index =find(errs==min(min(errs)));
    
31. results = [results,modes(index)];
    
32. end
    
33. results
    
34. %找到最小模对应的模板字符，即为识别结果

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gaohaikuo1

字符模板

gaohaikuo1

1. I_gray = rgb2gray(I);
   
2. I_zone = (I(:,:,3)>100)&(I(:,:,1)<100)&(I(:,:,2)<100);
   
3. se = strel('disk',3);  %structure element结构元素
   
4. I_zone1 = imerode(I_zone,se);%腐蚀
   
5. I_zone2 = imdilate(I_zone1,se);%膨胀
   
6. [i,j] = find(I_zone2 == 1);
   
7. left = min(j);
   
8. right = max(j);
   
9. upper = min(i);
   
10. lower = max(i);
    
11. I_zone3 = I_gray(upper:lower,left:right);
    
12. I_bw = I_zone3 >150;
    
13. I_bw1 = bwareaopen(I_bw,20);
    
14. axes(handles.axes1);
    
15. imshow(I_bw1,[]);
    
16. line = 1;
    
17. %获取汉字冀
    
18. [line1,line2,line] = getEdge(line,I_bw1)
    
19. I1 = I_bw1(:,line1:line2);
    
20. axes(handles.axes2); imshow(I1,[]);
    
21. %获取字母R
    
22. [line1,line2,line] = getEdge(line,I_bw1)
    
23. I2 = I_bw1(:,line1:line2);
    
24. axes(handles.axes3); imshow(I2,[]);
    
25. [line1,line2,line] = getEdge(line,I_bw1)
    
26. I3 = I_bw1(:,line1:line2);
    
27. axes(handles.axes4); imshow(I3,[]);
    
28. [line1,line2,line] = getEdge(line,I_bw1)
    
29. I4 = I_bw1(:,line1:line2);
    
30. axes(handles.axes5); imshow(I4,[]);
    
31. [line1,line2,line] = getEdge(line,I_bw1)
    
32. I5 = I_bw1(:,line1:line2);
    
33. axes(handles.axes6); imshow(I5,[]);
    
34. [line1,line2,line] = getEdge(line,I_bw1)
    
35. I6 = I_bw1(:,line1:line2);
    
36. axes(handles.axes7); imshow(I6,[]);
    
37. [line1,line2,line] = getEdge(line,I_bw1)
    
38. I7 = I_bw1(:,line1:line2);
    
39. axes(handles.axes8); imshow(I7,[]);

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gaohaikuo1