Online signature verification using neural network and pearson correlation features

In this paper, we proposed a method for feature extraction in online signature verification. We first used signature coordinate points and pen pressure of all signatures, which are available in the SIGMA database. Then, Pearson correlation coefficients were selected for feature extraction. The obtai...

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Main Authors:	Iranmanesh V., Ahmad S.M.S., Wan Adnan W.A., Malallah F.L., Yussof S.
Other Authors:	56047920000
Format:	Conference paper
Published:	IEEE Computer Society 2023
Subjects:	Feature extraction Neural network Online signature verification Pattern recognition Pearson correlation coefficients Neural networks Back propagation neural networks On-line signature verification Pearson correlation Pen-pressure Correlation methods
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Institution:	Universiti Tenaga Nasional

id	my.uniten.dspace-29444
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spelling	my.uniten.dspace-294442023-12-28T12:13:07Z Online signature verification using neural network and pearson correlation features Iranmanesh V. Ahmad S.M.S. Wan Adnan W.A. Malallah F.L. Yussof S. 56047920000 24721182400 6506665562 56102103900 16023225600 Feature extraction Neural network Online signature verification Pattern recognition Pearson correlation coefficients Feature extraction Neural networks Pattern recognition Back propagation neural networks On-line signature verification Pearson correlation Pearson correlation coefficients Pen-pressure Correlation methods In this paper, we proposed a method for feature extraction in online signature verification. We first used signature coordinate points and pen pressure of all signatures, which are available in the SIGMA database. Then, Pearson correlation coefficients were selected for feature extraction. The obtained features were used in back-propagation neural network for verification. The results indicate an accuracy of 82.42%. � 2013 IEEE. Final 2023-12-28T04:13:07Z 2023-12-28T04:13:07Z 2013 Conference paper 10.1109/ICOS.2013.6735040 2-s2.0-84897734529 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84897734529&doi=10.1109%2fICOS.2013.6735040&partnerID=40&md5=7cea48393ee9bec71044524f58f694bc https://irepository.uniten.edu.my/handle/123456789/29444 6735040 18 21 All Open Access; Green Open Access IEEE Computer Society Scopus
institution	Universiti Tenaga Nasional
building	UNITEN Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Tenaga Nasional
content_source	UNITEN Institutional Repository
url_provider	http://dspace.uniten.edu.my/
topic	Feature extraction Neural network Online signature verification Pattern recognition Pearson correlation coefficients Feature extraction Neural networks Pattern recognition Back propagation neural networks On-line signature verification Pearson correlation Pearson correlation coefficients Pen-pressure Correlation methods
spellingShingle	Feature extraction Neural network Online signature verification Pattern recognition Pearson correlation coefficients Feature extraction Neural networks Pattern recognition Back propagation neural networks On-line signature verification Pearson correlation Pearson correlation coefficients Pen-pressure Correlation methods Iranmanesh V. Ahmad S.M.S. Wan Adnan W.A. Malallah F.L. Yussof S. Online signature verification using neural network and pearson correlation features
description	In this paper, we proposed a method for feature extraction in online signature verification. We first used signature coordinate points and pen pressure of all signatures, which are available in the SIGMA database. Then, Pearson correlation coefficients were selected for feature extraction. The obtained features were used in back-propagation neural network for verification. The results indicate an accuracy of 82.42%. � 2013 IEEE.
author2	56047920000
author_facet	56047920000 Iranmanesh V. Ahmad S.M.S. Wan Adnan W.A. Malallah F.L. Yussof S.
format	Conference paper
author	Iranmanesh V. Ahmad S.M.S. Wan Adnan W.A. Malallah F.L. Yussof S.
author_sort	Iranmanesh V.
title	Online signature verification using neural network and pearson correlation features
title_short	Online signature verification using neural network and pearson correlation features
title_full	Online signature verification using neural network and pearson correlation features
title_fullStr	Online signature verification using neural network and pearson correlation features
title_full_unstemmed	Online signature verification using neural network and pearson correlation features
title_sort	online signature verification using neural network and pearson correlation features
publisher	IEEE Computer Society
publishDate	2023
_version_	1806425610563616768

Online signature verification using neural network and pearson correlation features

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