How to do cursive character segmentation?

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I am doing a project on Cursive character recognition, I wanted to know of steps to perform cursive character segmentation.

I will be obliged if someone can help in elucidating the steps of writing the code

I have tried vertical profiling but the threshold has to change according to every image, Is there any other method, or if Vertical profiling is to be pursued, how can I proceed?

Thank you

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suraj n 2021-4-12

is there any code for cursive handwritten character recognition,

Image Analyst 2021-4-12

Yes. There is the NIST digit deep learning example. Look for it under the Deep Learning documentation.

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Answer 1

Image Analyst 2014-4-3

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I don't know what you're starting with. Do you have a nice binary image already? Or are you not even to that step? I have some code to segment out characters on a varying background if you have that and can't get a good binary image yet.

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Spondon 2014-4-4

编辑：Walter Roberson 2015-12-14

在 MATLAB Online 中打开

My apologies sir for not being specific, hereby i am attaching the code used so far, it has been based on your previous thread on character segmentation

x=imread('thirteen.bmp')
x=im2bw(x)
x=~x;
verticalproj=sum(x,1)
hozproj=sum(x,2);
figure;
subplot(2,2,1);
imshow(x);
subplot(2,2,2);
plot(verticalproj,'b-');
grid on;
hold on;
subplot(2,1,2);
plot(horzproj,'b-');
grid on;
darkpixels=verticalproj<4; % thsi value has been arrived at by trial
[lableledregions noofregions]= bwlabel(darkpixels);
fprintf('number of regions =%d\n',noofregions);
% 0 where there is background, 1 where there are letters
letterLocations = verticalproj > 0;
% Find Rising and falling edges
d = diff(letterLocations);
startingColumns = find(d>0);
endingColumns = find(d<0);
% Extract each region
for k = 1 : length(startingColumns)
  % Get sub image of just one character...
  subImage = x(:, startingColumns(k):endingColumns(k));
  imshow(subImage);

I am getting different subimages based on this but it is not separate characters as expected,

l would like to know how to proceed after this for proper chaarcetr segmentation

Image Analyst 2014-4-4

It should would be a heck of a lot easier if I had thirteen.bmp.

Image Analyst 2014-4-4

在 MATLAB Online 中打开

There are 3 connected components in your image. If you want to get 8, one for each letter, then you'll need to look at the algorithms published and listed here: http://iris.usc.edu/Vision-Notes/bibliography/contentschar.html#OCR,%20Document%20Analysis%20and%20Character%20Recognition%20Systems

4.6.3 Handwriting, Cursive Script Recognition Systems
4.6.3.1 Cursive Script, Word Level Recognition, Word Spotting, Language Model
4.6.3.2 Cursive Script, Text Line Segmentation, Script Line, Segmentation, Text Line Extraction    23.4.6.3.3 On-Line Cursive Script Recognition Systems 
4.6.4 On-Line Signatures, Online Signatures
4.6.4.1 Off Line Signature Analysis

I do not do handwriting OCR nor have any code for you. I have not read any of the papers on it either. My research has never required that I learn how to do cursive OCR, unlike you. Good luck.

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Answer 2

Spondon 2014-4-4

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Poornima Gokhale 2015-12-14

Hey....even i am working on the similar project..please help me with the code..

Alina hui 2016-2-9

Hi! Spondon i am working the similar project, did u find the solution? i mean are you now able to segment the connected characters if yes then please share the code or algorithm with me, thanks in advance

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