Algorithms for extracting text from degraded document images

The main objective of this research is to automatically separate text from the background in degraded scanned document images and locate individual words in the text. In this thesis, techniques are presented to extract the handwritten text from the noisy or degraded background.

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Bibliographic Details
Main Author:	Chen, Yan
Other Authors:	Leedham Charles Graham
Format:	Theses and Dissertations
Published:	2008
Subjects:	DRNTU::Engineering::Computer science and engineering::Computing methodologies::Pattern recognition DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
Online Access:	https://hdl.handle.net/10356/2545
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Institution:	Nanyang Technological University

id	sg-ntu-dr.10356-2545
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spelling	sg-ntu-dr.10356-25452023-03-04T00:36:03Z Algorithms for extracting text from degraded document images Chen, Yan Leedham Charles Graham School of Computer Engineering DRNTU::Engineering::Computer science and engineering::Computing methodologies::Pattern recognition DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision The main objective of this research is to automatically separate text from the background in degraded scanned document images and locate individual words in the text. In this thesis, techniques are presented to extract the handwritten text from the noisy or degraded background. DOCTOR OF PHILOSOPHY (SCE) 2008-09-17T09:05:06Z 2008-09-17T09:05:06Z 2007 2007 Thesis Chen, Y. (2007). Algorithms for extracting text from degraded document images. Doctoral thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/2545 10.32657/10356/2545 Nanyang Technological University application/pdf
institution	Nanyang Technological University
building	NTU Library
continent	Asia
country	Singapore Singapore
content_provider	NTU Library
collection	DR-NTU
topic	DRNTU::Engineering::Computer science and engineering::Computing methodologies::Pattern recognition DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
spellingShingle	DRNTU::Engineering::Computer science and engineering::Computing methodologies::Pattern recognition DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision Chen, Yan Algorithms for extracting text from degraded document images
description	The main objective of this research is to automatically separate text from the background in degraded scanned document images and locate individual words in the text. In this thesis, techniques are presented to extract the handwritten text from the noisy or degraded background.
author2	Leedham Charles Graham
author_facet	Leedham Charles Graham Chen, Yan
format	Theses and Dissertations
author	Chen, Yan
author_sort	Chen, Yan
title	Algorithms for extracting text from degraded document images
title_short	Algorithms for extracting text from degraded document images
title_full	Algorithms for extracting text from degraded document images
title_fullStr	Algorithms for extracting text from degraded document images
title_full_unstemmed	Algorithms for extracting text from degraded document images
title_sort	algorithms for extracting text from degraded document images
publishDate	2008
url	https://hdl.handle.net/10356/2545
_version_	1759858071287365632

Algorithms for extracting text from degraded document images

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