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Survey on Text Detection, Segmentation and Recognition from a Natural Scene Images
International Journal of Computer Applications
© 2014 by IJCA Journal
Volume 108 - Number 13
Year of Publication: 2014
|
10.5120/18974-0472 |
Uma B Karanje and Rahul Dagade. Article: Survey on Text Detection, Segmentation and Recognition from a Natural Scene Images. International Journal of Computer Applications 108(13):39-43, December 2014. Full text available. BibTeX
@article{key:article,
author = {Uma B. Karanje and Rahul Dagade},
title = {Article: Survey on Text Detection, Segmentation and Recognition from a Natural Scene Images},
journal = {International Journal of Computer Applications},
year = {2014},
volume = {108},
number = {13},
pages = {39-43},
month = {December},
note = {Full text available}
}
Abstract
Detecting text from an image is an important prerequisite for the content based image analysis process. To understand the contents of an image or the valuable information, there is need of analyzing the text appears in it. Various methods have been proposed over past years for text detection and extraction from different types of images, like scene image, born digital image and document image. In this paper, we describe the existing methods of text detection, text segmentation and character recognition from natural scene images with their features, advantages and disadvantages.
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