International Journal of Advances in Science, Engineering and Technology(IJASEAT)
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Volume-9,Issue-3  ( Jul, 2021 )
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Nov
Submitted Papers : 80
Accepted Papers : 10
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Acc. Perc : 12%
  Journal Paper


Paper Title :
Study Of Various Character Segmentation Techniques For Handwritten Off-Line Cursive Words: A Review

Author :Amandeep Kaur, Seema Baghla, Sunil Kumar

Article Citation :Amandeep Kaur ,Seema Baghla ,Sunil Kumar , (2015 ) " Study Of Various Character Segmentation Techniques For Handwritten Off-Line Cursive Words: A Review " , International Journal of Advances in Science, Engineering and Technology(IJASEAT) , pp. 154-158, Volume-3, Issue-3

Abstract : Segmentation of cursive handwriting is the challenging step of Optical Character Recognition (OCR).The recognition accuracy will highly depend on the good segmentation. Segmentation of cursive handwriting is very difficult. The segmentation can be done on the basis of zoning, a line segment of text, a word segment from line and character segment from word. This can be done by the use of horizontal, vertical method. This paper reviews many basic and advanced techniques of handwritten word segmentation. Index Terms- Character segmentation, character segmentation techniques, optical character recognition.

Type : Research paper

Published : Volume-3, Issue-3


DOIONLINE NO - IJASEAT-IRAJ-DOIONLINE-2863   View Here

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