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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my.uniten.dspace-307802024-04-18T09:26:53Z Automatic online signature verification: A prototype using neural networks Ahmed S.K. Ramasamy A.K. Khairuddin A.S.Mohd. Omar J. 25926812900 16023154400 36019257000 24463418200 Biometrics Neural networks Self-organizing maps Signature verification Biometrics Character recognition Conformal mapping MATLAB Handwritten signatures Low costs On-line signature verification Prototype system Signature verification Self organizing maps 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. Final 2023-12-29T07:53:10Z 2023-12-29T07:53:10Z 2009 Conference Paper 10.1109/TENCON.2009.5395951 2-s2.0-77951133463 https://www.scopus.com/inward/record.uri?eid=2-s2.0-77951133463&doi=10.1109%2fTENCON.2009.5395951&partnerID=40&md5=165ff3b532b70a1fc607e420f7f9e738 https://irepository.uniten.edu.my/handle/123456789/30780 5395951 Scopus |
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Biometrics Neural networks Self-organizing maps Signature verification Biometrics Character recognition Conformal mapping MATLAB Handwritten signatures Low costs On-line signature verification Prototype system Signature verification Self organizing maps |
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Biometrics Neural networks Self-organizing maps Signature verification Biometrics Character recognition Conformal mapping MATLAB Handwritten signatures Low costs On-line signature verification Prototype system Signature verification Self organizing maps Ahmed S.K. Ramasamy A.K. Khairuddin A.S.Mohd. Omar J. Automatic online signature verification: A prototype using neural networks |
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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. |
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25926812900 |
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25926812900 Ahmed S.K. Ramasamy A.K. Khairuddin A.S.Mohd. Omar J. |
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Conference Paper |
author |
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 |
2023 |
_version_ |
1806428312351801344 |
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13.214268 |