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-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 |
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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. |
| 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 |
| _version_ |
1677776752942776320 |
| score |
13.251813 |