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
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Copyright: © Institute of Research and Journals
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Published on 2015-08-26 |
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