This is my code for Automatic number plate recognition, for some reason it is recognizing plates in some image and not recognizing in other similar image, can some1 help me know why ? I'll attach the two images here ( first working, seconf not workin

A = imread('A.png'); B = imread('B.png'); C = imread('C.png'); D = imread('D.png'); E = imread('E.png'); F = imread('F.png'); G = imread('G.png'); J = imread('j.png'); K = imread('K.png'); S = imread('S.png'); T = imread('T.png'); U = imread('U.png'); V = imread('V.png'); W = imread('W.png'); zero = imread('0.png'); one = imread('1.png'); two = imread('2.png'); three = imread('3.png'); four = imread('4.png'); five = imread('5.png'); six = imread('6.png'); seven = imread('7.png'); eight = imread('8.png'); nine = imread('9.png');

array = {A,B,C,D,E,F,G,J,K,S,T,U,V,W,zero,one,two,three,four,five,six,seven,eight,nine};

arrayAlph = {'A','B','C','D','E','F','G','J','K','S','T','U','V','W','0','1','2','3','4','5','6','7','8','9'};

img = imread('num6.jpg'); %Read image from graphics file

figure, imshow(img); %Create texture image

img1 = rgb2gray(img);

img3 = imcrop(img1,[680 1400 1400 1000]);

%figure; imshow(img3);

%[566.5 1335.5 1764 1356]

img4 =im2bw(img3);

figure, imshow(img4);

     stats = regionprops(img4); %segmentation
     S = ' ';
for index=1:length(stats)
if stats(index).Area > 200 && stats(index).BoundingBox(3)*stats(index).BoundingBox(4) < 30000
      x = ceil(stats(index).BoundingBox(1));
      y= ceil(stats(index).BoundingBox(2));
      widthX = floor(stats(index).BoundingBox(3)-1);
      widthY = floor(stats(index).BoundingBox(4)-1);
      subimage(index) = {img4(y:y+widthY,x:x+widthX,:)}; 

      %createsize variables to extracct out the noise which is smaller than
      %template size
       [m,n]=size(subimage{index});

       max = 0; %varaible max to store the maximum value of correlation coeffecient
        %figure;imshow( subimage{index});
      if(m >= 119 && n >= 30) % extract out the noise

          img5 = imresize((subimage{index}),[130,90]);  %store the segmented part for further analysis
           segment =im2bw(img5,0.4);

          figure; imshow(segment);
           for i = 1:length(array)  % loop through the set of refference images and calculate the correlation coefficient
             Img =  imcrop(array{i} ,[83 31 89 129]);
               Img = im2bw(Img,0.4);

             R = corr2(segment,Img);
              if(R>max)   % find out the highest value of correlation coefficient

                  max=R;
                  position=i;
              end

           end
             S = strcat(S,arrayAlph{position});

          end
      end    
end
S

[Tafheem Ahmed]

15 works and 14 dosent

[Image Analyst]

Try this: http://www.mathworks.com/matlabcentral/answers/13205-tutorial-how-to-format-your-question-with-markup