International Journal of Information Technology and Computer Science (IJITCS)
IJITCS Vol. 6, No. 2, 8 Jan. 2014
Cover page and Table of Contents: PDF (size: 302KB)
Segmentation of Isolated and Touching Characters in Offline Handwritten Gurmukhi Script Recognition
Full Text (PDF, 302KB), PP.58-63
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Author(s)
Munish Kumar
1,*
M. K. Jindal
2
R. K. Sharma
3
Index Terms
Character Segmentation, Water Reservoir Method, Zone Segmentation, Handwritten Text Recognition
Abstract
Segmentation of a word into characters is one of the important challenges in optical character recognition. This is even more challenging when we segment characters in an offline handwritten document. Touching characters make this problem more complex. In this paper, we have applied water reservoir based technique for identification and segmentation of touching characters in handwritten Gurmukhi words. Touching characters are segmented based on reservoir base area points. We could achieve 93.51% accuracy for character segmentation with this method. If the characters are neither broken nor overlapping, then this technique shall produce even better results.
Cite This Paper
Munish Kumar, M. K. Jindal, R. K. Sharma, "Segmentation of Isolated and Touching Characters in Offline Handwritten Gurmukhi Script Recognition", International Journal of Information Technology and Computer Science(IJITCS), vol.6, no.2, pp.58-63, 2014. DOI:10.5815/ijitcs.2014.02.08
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