Logo recognition using the line segment Hausdorff distance

In order to develop a logo recognition method that is robust to be employed under adverse conditions such as different scale/orientation, broken curves, added noise and occulsion, a logo recognition system based on line pattern features is proposed in this thesis.

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Bibliographic Details
Main Author:	Chen, Jingying.
Other Authors:	Leung, Maylor Karhang
Format:	Theses and Dissertations
Published:	2008
Subjects:	DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
Online Access:	http://hdl.handle.net/10356/2523
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Institution:	Nanyang Technological University

id	sg-ntu-dr.10356-2523
record_format	dspace
spelling	sg-ntu-dr.10356-25232023-03-04T00:33:34Z Logo recognition using the line segment Hausdorff distance Chen, Jingying. Leung, Maylor Karhang School of Computer Engineering DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision In order to develop a logo recognition method that is robust to be employed under adverse conditions such as different scale/orientation, broken curves, added noise and occulsion, a logo recognition system based on line pattern features is proposed in this thesis. Doctor of Philosophy (SCE) 2008-09-17T09:04:42Z 2008-09-17T09:04:42Z 2002 2002 Thesis http://hdl.handle.net/10356/2523 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::Image processing and computer vision
spellingShingle	DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision Chen, Jingying. Logo recognition using the line segment Hausdorff distance
description	In order to develop a logo recognition method that is robust to be employed under adverse conditions such as different scale/orientation, broken curves, added noise and occulsion, a logo recognition system based on line pattern features is proposed in this thesis.
author2	Leung, Maylor Karhang
author_facet	Leung, Maylor Karhang Chen, Jingying.
format	Theses and Dissertations
author	Chen, Jingying.
author_sort	Chen, Jingying.
title	Logo recognition using the line segment Hausdorff distance
title_short	Logo recognition using the line segment Hausdorff distance
title_full	Logo recognition using the line segment Hausdorff distance
title_fullStr	Logo recognition using the line segment Hausdorff distance
title_full_unstemmed	Logo recognition using the line segment Hausdorff distance
title_sort	logo recognition using the line segment hausdorff distance
publishDate	2008
url	http://hdl.handle.net/10356/2523
_version_	1759855431264501760

Logo recognition using the line segment Hausdorff distance

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