Automatic online signature verification: A prototype using neural networks

Signature verification is the process used to recognize an individual's handwritten signature to prevent fraud. In this paper pressure at the pen-tip together with the x, and y coordinates of the signature are measured and features extracted from these are used to verify the signature. A pressu...

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主要な著者: Ahmed, S.K., Ramasamy, A.K., Khairuddin, A.S.Mohd., Omar, J.
フォーマット: Conference Paper
言語:English
出版事項: 2017
オンライン・アクセス:http://dspace.uniten.edu.my/jspui/handle/123456789/7369
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spelling my.uniten.dspace-50292020-09-10T02:23:08Z Automatic online signature verification: A prototype using neural networks Ahmed, S.K. Ramasamy, A.K. Khairuddin, A.S.Mohd. Omar, J. Signature verification is the process used to recognize an individual's handwritten signature to prevent fraud. In this paper pressure at the pen-tip together with the x, and y coordinates of the signature are measured and features extracted from these are used to verify the signature. A pressure pad was used to obtain signature samples. A signature verification system using SOM neural network was designed in MATLAB to verify the signatures. Results obtained using a prototype system are encouraging. The attractive features of this system are its low cost, low intrusion, good performance and use of an acceptable and natural biometric (the signature). © 2009 IEEE. 2017-11-14T03:21:29Z 2017-11-14T03:21:29Z 2009 Conference Paper http://dspace.uniten.edu.my/jspui/handle/123456789/7369 10.1109/TENCON.2009.5395951 en IEEE Region 10 Annual International Conference, Proceedings/TENCON 2009, Article number 5395951
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/
language English
description Signature verification is the process used to recognize an individual's handwritten signature to prevent fraud. In this paper pressure at the pen-tip together with the x, and y coordinates of the signature are measured and features extracted from these are used to verify the signature. A pressure pad was used to obtain signature samples. A signature verification system using SOM neural network was designed in MATLAB to verify the signatures. Results obtained using a prototype system are encouraging. The attractive features of this system are its low cost, low intrusion, good performance and use of an acceptable and natural biometric (the signature). © 2009 IEEE.
format Conference Paper
author Ahmed, S.K.
Ramasamy, A.K.
Khairuddin, A.S.Mohd.
Omar, J.
spellingShingle Ahmed, S.K.
Ramasamy, A.K.
Khairuddin, A.S.Mohd.
Omar, J.
Automatic online signature verification: A prototype using neural networks
author_facet Ahmed, S.K.
Ramasamy, A.K.
Khairuddin, A.S.Mohd.
Omar, J.
author_sort Ahmed, S.K.
title Automatic online signature verification: A prototype using neural networks
title_short Automatic online signature verification: A prototype using neural networks
title_full Automatic online signature verification: A prototype using neural networks
title_fullStr Automatic online signature verification: A prototype using neural networks
title_full_unstemmed Automatic online signature verification: A prototype using neural networks
title_sort automatic online signature verification: a prototype using neural networks
publishDate 2017
url http://dspace.uniten.edu.my/jspui/handle/123456789/7369
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score 13.250246