Unable to Extract Numbers Using OCR Despite Performing Image Processing

I have images from a screen recording from which I am trying extract certain text and numbers.

I then crop the regions of interest (ROI) and proceed to resize the image from each ROI. Finally I apply various processing techniques such as filtering, adaptive histogram equalization, masking, binarization and morphological operations as shown below.

My code is shared as under

function [final_frame,point_cloud_block_values] = block_extractor_v10(img)
%% Define Region of Interest

a0 = 25;
for dd = 1:25
    a_n(dd) = a0+45*(dd-1);
end

roi_matrix = [360.*ones(25,1),a_n',67.*ones(25,1),32.*ones(25,1)];
roi3 = [111.51,1099.51,172.98,43.98]; %Final frame name

point_cloud_block_values = zeros(25,1);

for gg = 1:25
    I2 = imcrop(img,roi_matrix(gg,:));
    I3 = imresize(I2,[33*63,68*68]);
    
    txt1 =  ocr(I3,CharacterSet="0123456789",LayoutAnalysis="line");
    temp = str2double(txt1.Words);
    if isempty(temp)||txt1.TextLineConfidences <0.5
        txt1 =  ocr(I2,CharacterSet="0123456789",LayoutAnalysis="line");
        temp = str2double(txt1.Words);
        if isempty(temp)||txt1.TextLineConfidences <0.5
            I3 = imresize(I2,[33*70,68*80]);
            txt1 = ocr(I3,CharacterSet="0123456789",LayoutAnalysis="line");
            temp = str2double(txt1.Words);
        end
    end

    if  isempty(temp)||temp>12000
        I3_average1 = rgb2gray(I3);
        mask = I3_average1 < 60;
        mask = imclose(mask, true(9, 5));
        txt1 =  ocr(mask,CharacterSet="0123456789",LayoutAnalysis="line");
        temp = str2double(txt1.Words);
        if isempty(temp)
           txt1 =  ocr(I2,CharacterSet="0123456789",LayoutAnalysis="line");
           temp = str2double(txt1.Words);
        end
    end

    if isempty(temp)||size(temp,1)>1
        I3_average1 = rgb2gray(I3);
        I3_filt = medfilt2(I3_average1);
        I3_filt = adapthisteq(I3_filt);
        se = strel('disk',1);
        I3_filt = imopen(I3_filt,se);
        I3_filt = imbinarize(I3_filt);
        txt1 =  ocr(I3_filt,CharacterSet="0123456789",LayoutAnalysis="line");
        temp = str2double(txt1.Words);
    end

     point_cloud_block_values(gg) = temp;
end

txt3 = ocr(img,roi3,CharacterSet="_aeFmr0123456789",LayoutAnalysis="line");

if length(point_cloud_block_values) ~=25
    error('The length of each block must be 25')
end

final_frame = txt3.Words;

final_frame = char(final_frame);

end

However, I am unable to get 100% accuracy in text detection as there are several instances where the text is incorrectly identified by OCR as shown below.

I have uploaded the entire image database on my my google drive. Please advise

[Mathieu NOE]

hello

you may need to remove the smaller area blobs before OCR like in this demo :

% Read the image
image = imread('image.png');

% Convert the image to binary (if it's not already)
binaryImage = 1 - imbinarize(image); % and invert b/w

% Label connected components
labeledImage = bwlabel(binaryImage);

% Measure properties of image regions
blobMeasurements = regionprops(labeledImage, 'Area');

% Get all the areas
allAreas = [blobMeasurements.Area];
min(allAreas)

ans = 16

% Define the minimum area threshold
minArea = 500; % Adjust this value based on your needs

% Find blobs that meet the size criteria
keeperBlobs = ismember(labeledImage, find(allAreas >= minArea));
keeperBlobs = 1 - keeperBlobs; % invert again

% Display the original and processed images
figure;
subplot(1, 2, 1);
imshow(image);
title('Original Image');

subplot(1, 2, 2);
imshow(keeperBlobs);
title('Image with Small Blobs Removed');

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