Research Article
A Weighted Hybrid Thresholding Approach for Text Binarization
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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| Volume 52 - Issue 7 |
| Published: August 2012 |
| Authors: S. T. Deepa, S. P. Victor |
10.5120/8218-1640
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S. T. Deepa, S. P. Victor . A Weighted Hybrid Thresholding Approach for Text Binarization. International Journal of Computer Applications. 52, 7 (August 2012), 41-43. DOI=10.5120/8218-1640
@article{ 10.5120/8218-1640,
author = { S. T. Deepa,S. P. Victor },
title = { A Weighted Hybrid Thresholding Approach for Text Binarization },
journal = { International Journal of Computer Applications },
year = { 2012 },
volume = { 52 },
number = { 7 },
pages = { 41-43 },
doi = { 10.5120/8218-1640 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2012
%A S. T. Deepa
%A S. P. Victor
%T A Weighted Hybrid Thresholding Approach for Text Binarization%T
%J International Journal of Computer Applications
%V 52
%N 7
%P 41-43
%R 10.5120/8218-1640
%I Foundation of Computer Science (FCS), NY, USA
Abstract
Text extraction in real images taken in unconstrained environments remains surprisingly challenging in Computer Vision due to language characteristics, complex backgrounds and the text color. Extraction of text and caption from images and videos is important and in great demand for video retrieval, annotation, indexing and content analysis. In this paper we propose a weighted hybrid thresholding approach. It is demonstrated that the proposed method achieved reasonable accuracy of the text extraction for moderately difficult examples.
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