A Simple Approach for Text Segmentation in Images based on Curvelet Transform
Abstract-Text segmentation in image has become an active research area since recent decades. In this paper we present an efficient simple method to extract text regions from images possibly with complex background. The proposed method is to apply curvelet transform on an image to decompose it in...
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my.utp.eprints.78742017-01-19T08:24:41Z A Simple Approach for Text Segmentation in Images based on Curvelet Transform Faye, Ibrahima Jeoti, Varun Doma, Mustafa TK Electrical engineering. Electronics Nuclear engineering QA75 Electronic computers. Computer science Abstract-Text segmentation in image has become an active research area since recent decades. In this paper we present an efficient simple method to extract text regions from images possibly with complex background. The proposed method is to apply curvelet transform on an image to decompose it into set of directional sub-bands with texture details captured in different orientations and scales. Curvelets possess the main features of wavelets, namely, multi scale and time-frequency localization, but also offer a high degree of directionality and anisotropy. Instead of recognizing the edges in only horizontal, vertical & diagonal directions, the proposed system is designed to recognize the edges in multi directions taking care of text orientation. The proposed method is applied on different samples of images and encouraging results are obtained. 2010 Conference or Workshop Item PeerReviewed application/pdf http://eprints.utp.edu.my/7874/1/10-TextSegmCurvelet-ICIAS-KL_1.pdf Faye, Ibrahima and Jeoti, Varun and Doma, Mustafa (2010) A Simple Approach for Text Segmentation in Images based on Curvelet Transform. In: International Conference on Intelligent Systems Modelling and Simulation. http://eprints.utp.edu.my/7874/ |
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TK Electrical engineering. Electronics Nuclear engineering QA75 Electronic computers. Computer science Faye, Ibrahima Jeoti, Varun Doma, Mustafa A Simple Approach for Text Segmentation in Images based on Curvelet Transform |
description |
Abstract-Text segmentation in image has become an active
research area since recent decades. In this paper we present an
efficient simple method to extract text regions from images
possibly with complex background. The proposed method is to
apply curvelet transform on an image to decompose it into set of
directional sub-bands with texture details captured in different
orientations and scales. Curvelets possess the main features of
wavelets, namely, multi scale and time-frequency localization,
but also offer a high degree of directionality and anisotropy.
Instead of recognizing the edges in only horizontal, vertical &
diagonal directions, the proposed system is designed to
recognize the edges in multi directions taking care of text
orientation. The proposed method is applied on different
samples of images and encouraging results are obtained. |
format |
Conference or Workshop Item |
author |
Faye, Ibrahima Jeoti, Varun Doma, Mustafa |
author_facet |
Faye, Ibrahima Jeoti, Varun Doma, Mustafa |
author_sort |
Faye, Ibrahima |
title |
A Simple Approach for Text Segmentation in
Images based on Curvelet Transform |
title_short |
A Simple Approach for Text Segmentation in
Images based on Curvelet Transform |
title_full |
A Simple Approach for Text Segmentation in
Images based on Curvelet Transform |
title_fullStr |
A Simple Approach for Text Segmentation in
Images based on Curvelet Transform |
title_full_unstemmed |
A Simple Approach for Text Segmentation in
Images based on Curvelet Transform |
title_sort |
simple approach for text segmentation in
images based on curvelet transform |
publishDate |
2010 |
url |
http://eprints.utp.edu.my/7874/1/10-TextSegmCurvelet-ICIAS-KL_1.pdf http://eprints.utp.edu.my/7874/ |
_version_ |
1738655610363183104 |
score |
13.211869 |