Publication: Automatic online signature verification: A prototype using neural networks
dc.citedby | 3 | |
dc.contributor.author | Ahmed S.K. | en_US |
dc.contributor.author | Ramasamy A.K. | en_US |
dc.contributor.author | Khairuddin A.S.Mohd. | en_US |
dc.contributor.author | Omar J. | en_US |
dc.contributor.authorid | 25926812900 | en_US |
dc.contributor.authorid | 16023154400 | en_US |
dc.contributor.authorid | 36019257000 | en_US |
dc.contributor.authorid | 24463418200 | en_US |
dc.date.accessioned | 2023-12-29T07:53:10Z | |
dc.date.available | 2023-12-29T07:53:10Z | |
dc.date.issued | 2009 | |
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. | en_US |
dc.description.nature | Final | en_US |
dc.identifier.ArtNo | 5395951 | |
dc.identifier.doi | 10.1109/TENCON.2009.5395951 | |
dc.identifier.scopus | 2-s2.0-77951133463 | |
dc.identifier.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-77951133463&doi=10.1109%2fTENCON.2009.5395951&partnerID=40&md5=165ff3b532b70a1fc607e420f7f9e738 | |
dc.identifier.uri | https://irepository.uniten.edu.my/handle/123456789/30780 | |
dc.source | Scopus | |
dc.sourcetitle | IEEE Region 10 Annual International Conference, Proceedings/TENCON | |
dc.subject | Biometrics | |
dc.subject | Neural networks | |
dc.subject | Self-organizing maps | |
dc.subject | Signature verification | |
dc.subject | Biometrics | |
dc.subject | Character recognition | |
dc.subject | Conformal mapping | |
dc.subject | MATLAB | |
dc.subject | Handwritten signatures | |
dc.subject | Low costs | |
dc.subject | On-line signature verification | |
dc.subject | Prototype system | |
dc.subject | Signature verification | |
dc.subject | Self organizing maps | |
dc.title | Automatic online signature verification: A prototype using neural networks | en_US |
dc.type | Conference Paper | en_US |
dspace.entity.type | Publication |