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Character Recognition Example (III):Training a Simple NN for classification

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Character Recognition Example (III):Training a Simple NN for classification

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07 Oct 2005 (Updated )

This demo shows some examples for image pre-processing before the recognition stage.

edu_imgpreprocess(I)
function img = edu_imgpreprocess(I)

Igray = rgb2gray(I);

Ibw = im2bw(Igray,graythresh(Igray));

Iedge = edge(uint8(Ibw));

se = strel('square',3);

Iedge2 = imdilate(Iedge, se); 

Ifill= imfill(Iedge2,'holes');

[Ilabel num] = bwlabel(Ifill);

Iprops = regionprops(Ilabel);

Ibox = [Iprops.BoundingBox];
Ibox = reshape(Ibox,[4 50]);

Ic = [Iprops.Centroid];
Ic = reshape(Ic,[2 50]);
Ic = Ic';
Ic(:,3) = (mean(Ic.^2,2)).^(1/2);
Ic(:,4) = 1:50;

% Extra lines compare to example2 to extract all the components into an
% cell array
Ic2 = sortrows(Ic,2);

for cnt = 1:5
    Ic2((cnt-1)*10+1:cnt*10,:) = sortrows(Ic2((cnt-1)*10+1:cnt*10,:),4);
end

Ic3 = Ic2(:,1:2);
ind = Ic2(:,4);

for cnt = 1:50
    img{cnt} = imcrop(Ibw,Ibox(:,ind(cnt)));
end



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