Working with handwriting pattern matching , but faces some problems in order to be very new in Matlab. I want to match this pattern

with this.

So far I have been doing this:
function result=test(image1,image2) %********************************************************* image1=rgb2gray(image1); image2=rgb2gray(image2); % check which one is target and which one is template using their size if size(image1)>size(image2) Target=image1; Template=image2; else Target=image2; Template=image1; end % find both images sizes [r1,c1]=size(Target); [r2,c2]=size(Template); % mean of the template image22=Template-mean(mean(Template)); %corrolate both images M=[]; for i=1:(r1-r2+1) for j=1:(c1-c2+1) Nimage=Target(i:i+r2-1,j:j+c2-1); Nimage=Nimage-mean(mean(Nimage)); % mean of image part under mask corr=sum(sum(Nimage.*image22)); %warning off M(i,j)=corr/sqrt(sum(sum(Nimage.^2))); end end % plot box on the target image result=plotbox(Target,Template,M);
For plotbox ..
function result=plotbox(Target,Template,M) %********************************************************* [r1,c1]=size(Target); [r2,c2]=size(Template); [r,c]=max(M); [r3,c3]=max(max(M)); i=c(c3); j=c3; result=Target; for x=i:i+r2-1 for y=j result(x,y)=255; end end for x=i:i+r2-1 for y=j+c2-1 result(x,y)=255; end end for x=i for y=j:j+c2-1 result(x,y)=255; end end for x=i+r2-1 for y=j:j+c2-1 result(x,y)=255; end end
And for testing I use ..
% read Template image im1=imread('C:\Users\Shuvro\Desktop\New folder\1.jpg'); % read Traget Image im2=imread('C:\Users\Shuvro\Desktop\New folder\2.jpg'); % apply templete matching using power of the image result1=test(im1,im2); figure, subplot(2,2,1),imshow(im1);title('Template'); subplot(2,2,2),imshow(im2);title('Target'); subplot(2,2,3),imshow(result1);title('Matching Result using tmp');
But this code often cannot identify this template in the source image without understanding what happened to it. Anyone can help?
Basically, when I enter 2 images into the system, I want their height to be the same. Then I want to measure the width of the image of the template, and then I want to scan the original image according to this width and examine the pixel values. When these pixel values ββof the template will correspond to the original image of more than 70%, then I will give the result that it is found, otherwise not found.
This is what I am going to do. I really appreciate if anyone can help with the above code by editing it or giving advice.