the-Note-Making-Project

Implemented OCR algorithm without using any predefined functions or libraries to recognize and highlight characters from images.

  clc
  Inputimage=imread("/MATLAB Drive/caution.jpg");
  figure(1)
  imshow(Inputimage);
  title('INPUT IMAGE WITH NOISE')

  # Convert to gray scale
  if size(Inputimage,3)==3 % RGB image
  Inputimage=rgb2gray(Inputimage);
  end

  # Convert to binary image
  threshold = graythresh(Inputimage);
  Inputimage =~im2bw(Inputimage,threshold);


  # Remove all object containing fewer than 30 pixels
  Inputimage = bwareaopen(Inputimage,30);
  pause(1);


  # Label connected components
  [L Ne]=bwlabel(Inputimage);
  propied=regionprops(L,'BoundingBox');
  imshow(~Inputimage);
  hold on
  for n=1:size(propied,1)
  rectangle('Position',propied(n).BoundingBox,'EdgeColor','g','LineWidth',2)
  end
  hold off
  pause (1);

  # Objects extraction
  figure
  for n=1:Ne
  [r,c] = find(L==n);
  n1=Inputimage(min(r):max(r),min(c):max(c));
  imshow(~n1);
  pause(0.5)
  end