Detecting text from image with perspective distorted using matlab

I think matlab is good for text detection (ocr). There are several libraries for ocr. The most important ones are:

• Abbyy
• Tesseract

Tesseract is considered to be one of the most accurate open source open source OCR engines currently available.

I have been working on a perspective distortion ocr and I am using the matlab-tesseract library.

I have an issue with perspective distorting perspective with image rotation by finding the border of the image and its lines using the houghlines method .

I will share my code snippet and hope it gives you an idea of ​​this problem.

        function [ output_args ] = rotate_image(  )
         clc;
         close all;
         clear; 

         I = imread("any_images")
         I2 = imcrop(I,[85 150 590 480]);
         I3 = imcrop(I2,[-85 0 440 480]);
         imwrite (I3,'original.tiff', 'Resolution', 300);
        thresh = graythresh(I3);
        Bimage = im2bw(I3, thresh);
        Bimage = edge(Bimage,'sobel');
        [H, T, R] = hough(Bimage);%,'RhoResolution',0.1,'Theta',[-90,0]);
        P  = houghpeaks(H,10);%,'threshold',ceil(0.3*max(H(:))));
        % Find lines and plot them
        lines = houghlines(Bimage,T,R,P);%,'FillGap',100,'MinLength',5);
        figure, imshow(I3), hold on
        max_len = 0;
        for k = 1:length(lines)
            xy = [lines(k).point1; lines(k).point2];
            len = norm(lines(k).point1 - lines(k).point2);
            if ( len > max_len)
                max_len = len;
                xy_long = xy;
            end
        end

    % highlight the longest line segment
    plot(xy_long(:,1),xy_long(:,2),'LineWidth',2,'Color','blue');
    a = -xy_long(1,1) + xy_long(2,1);    
    b = -xy_long(1,2) + xy_long(2,2);

    angle=180-atand(b/a);

    if angle > 180
        angle = angle-180;
    end

    angle
    B = imresize(I3, 2);

   if angle > 90
        B =  imrotate(B, 90 - angle ,'bilinear','crop');
   else 
        B =  imrotate(B, -angle,'bilinear','crop');
   end

   imwrite (B,'rotated_image.tiff', 'Resolution', 300);

 end