Text detection on images

Text detection on images

Detecting whether an image contains a short article becomes important these days. This project introduces a technique to detect whether there is a hidden short propaganda article embedded in an image to avoid censorship through text filtering. The Stroke Width Transform, image binaryzation and discr...

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Main Author: Zhang, Luwei
Other Authors: Kot Chichung, Alex
Format: Final Year Project
Language:English
Published: 2013
Subjects:
DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
Online Access:http://hdl.handle.net/10356/54595
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Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-54595
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spelling sg-ntu-dr.10356-545952023-07-07T16:42:33Z Text detection on images Zhang, Luwei Kot Chichung, Alex School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems Detecting whether an image contains a short article becomes important these days. This project introduces a technique to detect whether there is a hidden short propaganda article embedded in an image to avoid censorship through text filtering. The Stroke Width Transform, image binaryzation and discrete Fourier transform methods will be used during the process. Moreover, this report also discusses about the advantages and shortcoming of each method. Bachelor of Engineering 2013-06-24T06:28:25Z 2013-06-24T06:28:25Z 2013 2013 Final Year Project (FYP) http://hdl.handle.net/10356/54595 en Nanyang Technological University 60 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
Zhang, Luwei
Text detection on images
description Detecting whether an image contains a short article becomes important these days. This project introduces a technique to detect whether there is a hidden short propaganda article embedded in an image to avoid censorship through text filtering. The Stroke Width Transform, image binaryzation and discrete Fourier transform methods will be used during the process. Moreover, this report also discusses about the advantages and shortcoming of each method.
author2 Kot Chichung, Alex
author_facet Kot Chichung, Alex
Zhang, Luwei
format Final Year Project
author Zhang, Luwei
author_sort Zhang, Luwei
title Text detection on images
title_short Text detection on images
title_full Text detection on images
title_fullStr Text detection on images
title_full_unstemmed Text detection on images
title_sort text detection on images
publishDate 2013
url http://hdl.handle.net/10356/54595
_version_ 1772826462400806912

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