ISSN (online) : 2395 - 7549

 
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A Review on Segmentation Problems on Gujarati Handwritten Text Document


Author(s):

Rakesh R. Savant , Babu Madhav Institute of Information Technology, UTU; Preeti P. Bhatt, Babu Madhav Institute of Information Technology, UTU

Keywords:

OCR, Gujarati, Handwritten Text Document, Segmentation, Methods

Abstract:

Optical Character Recognition (OCR) on Gujarati handwritten text document is important area of research. OCR on handwritten text document is very difficult. The reason is different people having different writing styles. For Gujarati handwritten text document OCR a very less research is done till date and there are many challenges too in Gujarati handwritten text document OCR. The whole process of OCR having many steps to be perform. In this paper the focus on the segmentation phase of Gujarati handwritten text document OCR and segmentation problems in it. In this paper we discover the difficulties of segmentation on Gujarati hand written text document. Also discover the comparison of the various segmentation methods which is works effectively for other languages and may be suit for Gujarati handwritten text document OCR too. This review paper illustrate the overview of OCR, various techniques of segmentation phase on Gujarati hand written text document with comparative study and problems in segmentation.

Other Details:

Manuscript Id :J4RV3I5006
Published in :Volume : 3, Issue : 5
Publication Date: 01/08/2017
Page(s): 7-11
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