Please tell me matlab code for handwritten characters recognition using template matching.

I am working on handwritten recognition. Kindly help me in this matter please.....

[MONIKA SAINI]

I RUN THIS CODE FOR TEMPLATE MATCHING USING CORRELATION. BUT THIS IS SHOWING ERROR.

Error in ==> Untitled at 42
subplot(1,2,2), imshow(OriDu(x:x+TempH, y:y+TempW, :)),title('Segment of the similar part') 
??? Index exceeds matrix dimensions.

Original = imread('C:\Users\abcd\Desktop\scanned\scanned data\scanned data\template y\cross.jpg'); % Read original image
Template = imread('C:\Users\abcd\Desktop\scanned\scanned data\scanned data\y\20.jpg'); % Read template image

OriDu = im2double(Original); % convert original image
TempDu = im2double(Template); % convert template

OriH = size(Original, 1); %height of the Original image
OriW = size(Original, 2); %width of the Original image
OriD = size(Original, 3); %colour depth 

TempH = size(Template, 1); %height of the Template image
TempW = size(Template, 2); %width of the Template image
TempD = size(Template, 3); %colour depth 

TempDu = reshape(TempDu, TempH*TempW, 3);

corr = 0; % to check the best correlation found

%%two for loops to go through the original image.

for i = 1:OriH-TempH
    for j = 1:OriW-TempW

          % take a segment of the original image( same size as the template size)
          segment = OriDu(i: (i - 1) + TempH, j: (j - 1) + TempW, :);

          segment = reshape(segment, TempH*TempW, 3);

          output = corr2(TempDu, segment);

          if output > corr
             corr = output;
             x = i;
             y = j;
          end
      end
  end 

figure;
subplot(1,2,1), imshow(Template), title('Template');
subplot(1,2,2), imshow(OriDu(x:x+TempH, y:y+TempW, :)),title('Segment of the similar part')

Answer 1

[Walter Roberson]

In your loop finding the largest corr2(), you are using a slice of OriDU that is TempH high by TempW wide. However when you get to the end to plot, you are extracting a slide that is TempH+1 high by TempW+1 wide. Your loop does the indexing correctly, remembering to subtract 1 from the upper end of the range, and it is your imshow() call that is incorrect.