reconstruct text on image and deskew it in matlab

To reconstruct text on an image and deskew it in MATLAB, you can follow these steps:

1. Read the image containing the text using the imread function.

main.m
img = imread('image_file_name.jpg');
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2. Preprocess the image to improve its quality for OCR. You can use functions like imadjust, imbinarize, imfill to adjust the image's contrast, threshold, and fill holes in it.

main.m
img = imadjust(img);
bw = imbinarize(img);
bw = imfill(bw, 'holes');
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3. Deskew the image to correct the skew angle of the text using the deskew function that estimates the text's orientation angle and rotates the image to align it horizontally.

main.m
angle = deskew(bw);
if angle ~= 0
   bw = imrotate(bw, angle, 'bicubic', 'crop');
end
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4. Perform OCR on the deskewed image using the ocr function.

main.m
ocr_data = ocr(bw);
text = ocr_data.Text;
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5. Display the deskewed image and recognized text.

main.m
figure;
imshow(bw);
title('Deskewed Image');
fprintf('Recognized Text: %s\n', text);
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Note that this procedure is not perfect and may require tweaking of the parameters and preprocessing steps based on the nature of the input image.