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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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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
score 13.214268

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