code of Licenses Plate Recognition Using Template Matching Method

[row col]=size(a); display(size(a)); %code for sobel filter % ? that shud be asked y sobel filter and not any oder BW = edge(double(a),'sobel'); figure(1) imshow(BW) title('Sobel Final Gradient Image');

%code for vertical projection % not used for the project have kept it so that if required dont need to % search for the code again vp = sum(BW,2); %figure(2); %(plot(vp));

%code for horizontal projection hp = sum(BW,1); % if we neeed it later

% over here i locate the point with highest peak and its index ;) [ybm , indy ] = max(vp);

% closing image % closing aimage is basically to used so that all the points which form % white points together form the object %BW1 = BW; se = strel('rectangle',[3,8]); closeBW = imclose(BW,se); %figure(2); %imshow(closeBW);

% filling image % just fills the the boundary and removes the blocka fI = imfill(closeBW,'holes'); figure(2); imshow(fI);

%open image fO = imopen(fI,se); fO = imclearborder(fO,8); figure(3); imshow(fO);

figure; imshow(a1); pause(1); % trials to corp the detect plate ( remeber black =0) figure; %set(gcf, 'Position', get(0, 'ScreenSize'));

labeledImage = bwlabel(fO,8); originalImage =a1; %just copied

measure = regionprops(labeledImage, originalImage, 'all'); number = size(measure, 1);

display(number);

for k = 1 : number % Loop through all blobs. chk=1; % Find the bounding box of each blob. thisBoundingBox = measure(k).BoundingBox; % Get list of pixels in current blob. % Extract out this coin into it's own image. subImage = imcrop(a1, thisBoundingBox);

        % over here i will do plate    recognition from the samples i have 
        % for eg in the image test_003 i have got 22 samples :-/
        % u can count n chk :P
        %display(size(subImage)); after chking i set the limit to [30 100]
        [x y]= size(subImage);
        if(x >=25 && y >=100)
            imshow(subImage);
            imwrite(subImage,'image1.jpg');
            break;
            %ocr; need to replace the ocr code over here
            % just call the ocr file giving tit the input of file
            % image1.jpg
            % after that as soon as u go in ocr.m file delete image1.jpg
            % this is to maintain security of the file
            %pause(1);
        end
      % ocr;
       %pause(5);
    % Display the image with informative caption.
    %subplot(3, 4, k);
    %imshow(subImage);
    %caption = sprintf('Coin #%d\nDiameter = %.1f pixels\nArea = %d pixels', k, blobECD(k), blobMeasurements(k).Area);
    %title(caption, 'FontSize', 14);
end

KABMNZ KABMNZ 2016-8-14

Can you give me a site on the internet which I can learn to write a code of Licenses Plate Recognition Using Template Matching Method. thanks for helping me ز

Image Analyst 2016-8-14

You will find all or most of the papers here: http://www.visionbib.com/bibliography/motion-f726.html#License%20Plate%20Recognition,%20Extraction,%20Analysis

and here: http://www.platerecognition.info/

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