How to extract and recognise the vechile plate number with matlab?

I want to develop an matlab program that can extract and recognise the plat number of vechile with templete mactching method. Here is my code..

      function letters = PengenalanPlatMobil(citra)
       %load NewTemplates
       %global NewTemplates
       citra=imresize(citra,[400 NaN]); % Resizing the image keeping aspect 
       ratio same.
       citra_bw=rgb2gray(citra); % Converting the RGB (color) image to gray  
       (intensity).
        citra_filt=medfilt2(citra_bw,[3 3]); % Median filtering to remove  
         noise.
       se=strel('disk',1);
        citra_dilasi=imdilate(citra_filt,se); % Dilating the gray image with 
          the structural element.
        citra_eroding=imerode(citra_filt,se); % Eroding the gray image with 
         structural 
       element.
       citra_edge_enhacement=imsubtract(citra_dilasi,citra_eroding); 
          %Morphological  
        Gradient for edges enhancement.
        imshow(citra_edge_enhacement);
        citra_edge_enhacement_double=mat2gray(double(citra_edge_enhacement)); %    
         Converting the class to double.
        citra_double_konv=conv2(citra_edge_enhacement_double,[1 1;1 1]); 
         %Convolution 
         of the double image f
        citra_intens=imadjust(citra_double_konv,[0.5 0.7],[0 1],0.1);  
           %Intensity     
        scaling between the range 0 to 1.
       citra_logic=logical(citra_intens); % Conversion of the class from double  
          to binary. 
       % Eliminating the possible horizontal lines from the output image of         
           regiongrow
      % that could be edges of license plate.
      citra_line_delete=imsubtract(citra_logic, 
     (imerode(citra_logic,strel('line',50,0))));
      % Filling all the regions of the image.
       citra_fill=imfill(citra_line_delete,'holes');
        % Thinning the image to ensure character isolation.
    citra_thinning_eroding=imerode((bwmorph(citra_fill,'thin',1)),
    (strel('line',3,90)));

       %Selecting all the regions that are of pixel area more than 100.
      citra_final=bwareaopen(citra_thinning_eroding,125);
       [labelled jml] = bwlabel(citra_final); 
      % Uncomment to make compitable with the previous versions of MATLAB®
      % Two properties 'BoundingBox' and binary 'Image' corresponding to these
     % Bounding boxes are acquired.
      Iprops=regionprops(labelled,'BoundingBox','Image');

     %%%OCR STEP
         [letter{1:jml}]=deal([]);
         [gambar{1:jml}]=deal([]);
           for ii=1:jml
            gambar= Iprops(ii).Image;
            letter{ii}=readLetter(gambar);
            % imshow(gambar);
            %  
              end
                        end
                      end

[vaishali masal]

what is this: function letters = PengenalanPlatMobil(citra)

[Image Analyst]

The poster claims it's "an matlab program that can extract and recognise the plat number of vechile with templete mactching method." Why do you ask?

Answer 1

[Image Analyst]

We don't know how good, robust, or flexible your algorithm is. You can see published algorithms in Section 16.7.2.5 here: VisionBib. I bet they're a good bit longer than your code.