Publish In |
International Journal of Advances in Science, Engineering and Technology(IJASEAT)-IJASEAT |
Journal Home Volume Issue |
||||||||
Issue |
Volume-3, Issue-3 ( Jul, 2015 ) | |||||||||
Paper Title |
Study Of Various Character Segmentation Techniques For Handwritten Off-Line Cursive Words: A Review | |||||||||
Author Name |
Amandeep Kaur, Seema Baghla, Sunil Kumar | |||||||||
Affilition |
M.Tech. Student (Computer Engg.), Assistant Professor (Computer Engg.), Assistant Professor Yadavindra College of Engineering, Punjabi Univ. Guru Kashi Campus, Talwandi Sabo, Bathinda, Punjab, India | |||||||||
Pages |
154-158 | |||||||||
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. | |||||||||
View Paper |