Please use this identifier to cite or link to this item:
http://dspace.uniten.edu.my/jspui/handle/123456789/5029
DC Field | Value | Language |
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dc.contributor.author | Ahmed, S.K. | - |
dc.contributor.author | Ramasamy, A.K. | - |
dc.contributor.author | Khairuddin, A.S.Mohd. | - |
dc.contributor.author | Omar, J. | - |
dc.date.accessioned | 2017-11-14T03:21:29Z | - |
dc.date.available | 2017-11-14T03:21:29Z | - |
dc.date.issued | 2009 | - |
dc.identifier.uri | http://dspace.uniten.edu.my/jspui/handle/123456789/7369 | - |
dc.description.abstract | 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. | - |
dc.language.iso | en | - |
dc.relation.ispartof | IEEE Region 10 Annual International Conference, Proceedings/TENCON 2009, Article number 5395951 | - |
dc.title | Automatic online signature verification: A prototype using neural networks | - |
dc.type | Conference Paper | - |
dc.identifier.doi | 10.1109/TENCON.2009.5395951 | - |
item.fulltext | No Fulltext | - |
item.grantfulltext | none | - |
Appears in Collections: | COE Scholarly Publication |
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