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04-04-2017, 01:39 PM

hello all,
i am doing a project on handwrriten word extraction so for the i need a MATLAB code if anyone has please do email me jeevankumarjix124[at]gmail.com

jaseela123d · 10-04-2017, 12:21 PM

Research into the automatic identification of writers has focused mainly on the statistical approach. This has led to the specification and extraction of statistical features such as run length distributions, sloped distribution, entropy and edge hinge distribution. The edge hinge distribution feature outperforms all other statistical features. The distribution of the edge hinge is a feature that characterises changes in the direction of a handwriting stroke. The edge hinge distribution is extracted by means of a window that slides over a binary handwriting image detected on an edge. Each time the central pixel of the window is activated, the two border fragments (ie, connected sequences of pixels) are considered to emerge from this central pixel. Their addresses are measured and stored as pairs.

The following code is used for segmentation and labeling.

Code:
I = imread('1.jpg');

bin_im = imcomplement(out);

bin_im = bwareaopen(bin_im,30);

bw1 = bin_im;

cc = bwconncomp(bw1)

cc.NumObjects

%Label the connected components

[Label,Total]=bwlabel(bw1,8);

%Rectangle containing the region

Sdata=regionprops(Label,'BoundingBox');

for i=1:Total  

%Crop all the Images 

    Img = imcrop(bw1,Sdata(i).BoundingBox);

    Name = strcat('Object Number:',num2str(i));

    pathname1 = 'C:\Users\sahanpriyanga\Documents\MATLAB\stack\Words';

    baseFileName1 = sprintf('Img%d.jpg',i);

    fullFileName1 = fullfile(pathname1,baseFileName1);

    imwrite(Img,fullFileName1);

end

This is the image that I have used.

It can be understood in the following video:

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