Writer identification based on hyper sausage neuron

This paper proposes biomimetic pattern recognition (BPR) based on hyper sausage neuron (HSN) and applies it in writer identification. HSN is used to cover the training set.HSN’s coverage can be seen as a topological product of a one-dimensional line segment and an n-dimensional supersphere.The feat...

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Main Authors:	Samsuryadi,, Shamsuddin, Siti Mariyam, Ahmad, Norbahiah
Format:	Conference or Workshop Item
Language:	English
Published:	2011
Subjects:	QA76 Computer software
Online Access:	http://repo.uum.edu.my/13605/1/49.pdf http://repo.uum.edu.my/13605/ http://www.icoci.cms.net.my
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Institution:	Universiti Utara Malaysia
Language:	English

id	my.uum.repo.13605
record_format	eprints
spelling	my.uum.repo.136052015-04-07T04:37:04Z http://repo.uum.edu.my/13605/ Writer identification based on hyper sausage neuron Samsuryadi, , Shamsuddin, Siti Mariyam Ahmad, Norbahiah QA76 Computer software This paper proposes biomimetic pattern recognition (BPR) based on hyper sausage neuron (HSN) and applies it in writer identification. HSN is used to cover the training set.HSN’s coverage can be seen as a topological product of a one-dimensional line segment and an n-dimensional supersphere.The feature extraction is moment invariants such as united moment invariants (UMI) and aspect united moment invariants (AUMI).The experiments result show that AUMI-HSN method is more effective than UMI-HSN method for identifying the authorship of handwriting. 2011-06-08 Conference or Workshop Item PeerReviewed application/pdf en http://repo.uum.edu.my/13605/1/49.pdf Samsuryadi, , and Shamsuddin, Siti Mariyam and Ahmad, Norbahiah (2011) Writer identification based on hyper sausage neuron. In: 3rd International Conference on Computing and Informatics (ICOCI 2011), 8-9 June 2011, Bandung, Indonesia. http://www.icoci.cms.net.my
institution	Universiti Utara Malaysia
building	UUM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Utara Malaysia
content_source	UUM Institutionali Repository
url_provider	http://repo.uum.edu.my/
language	English
topic	QA76 Computer software
spellingShingle	QA76 Computer software Samsuryadi, , Shamsuddin, Siti Mariyam Ahmad, Norbahiah Writer identification based on hyper sausage neuron
description	This paper proposes biomimetic pattern recognition (BPR) based on hyper sausage neuron (HSN) and applies it in writer identification. HSN is used to cover the training set.HSN’s coverage can be seen as a topological product of a one-dimensional line segment and an n-dimensional supersphere.The feature extraction is moment invariants such as united moment invariants (UMI) and aspect united moment invariants (AUMI).The experiments result show that AUMI-HSN method is more effective than UMI-HSN method for identifying the authorship of handwriting.
format	Conference or Workshop Item
author	Samsuryadi, , Shamsuddin, Siti Mariyam Ahmad, Norbahiah
author_facet	Samsuryadi, , Shamsuddin, Siti Mariyam Ahmad, Norbahiah
author_sort	Samsuryadi, ,
title	Writer identification based on hyper sausage neuron
title_short	Writer identification based on hyper sausage neuron
title_full	Writer identification based on hyper sausage neuron
title_fullStr	Writer identification based on hyper sausage neuron
title_full_unstemmed	Writer identification based on hyper sausage neuron
title_sort	writer identification based on hyper sausage neuron
publishDate	2011
url	http://repo.uum.edu.my/13605/1/49.pdf http://repo.uum.edu.my/13605/ http://www.icoci.cms.net.my
_version_	1644281231165095936

Writer identification based on hyper sausage neuron

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