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dc.contributor.authorMcCabe, A
dc.contributor.authorTrevathan, J
dc.contributor.authorRead, W
dc.date.accessioned2017-05-03T16:09:17Z
dc.date.available2017-05-03T16:09:17Z
dc.date.issued2008
dc.date.modified2013-06-13T23:31:53Z
dc.identifier.issn1796-203X
dc.identifier.doi10.4304/jcp.3.8.9-22
dc.identifier.urihttp://hdl.handle.net/10072/48449
dc.description.abstractHandwritten signatures are considered as the most natural method of authenticating a person's identity (compared to other biometric and cryptographic forms of authentication). The learning process inherent in Neural Networks (NN) can be applied to the process of verifying handwritten signatures that are electronically captured via a stylus. This paper presents a method for verifying handwritten signatures by using a NN architecture. Various static (e.g., height, slant, etc.) and dynamic (e.g., velocity, pen tip pressure, etc.) signature features are extracted and used to train the NN. Several Network topologies are tested and their accuracy is compared. The resulting system performs reasonably well with an overall error rate of 3:3% being reported for the best case.
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.format.extent533130 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglish
dc.language.isoeng
dc.publisherAcademy Publisher
dc.publisher.placeFinland
dc.relation.ispartofstudentpublicationN
dc.relation.ispartofpagefrom9
dc.relation.ispartofpageto22
dc.relation.ispartofissue8
dc.relation.ispartofjournalJournal of Computers
dc.relation.ispartofvolume3
dc.rights.retentionY
dc.subject.fieldofresearchInformation and computing sciences
dc.subject.fieldofresearchInformation systems not elsewhere classified
dc.subject.fieldofresearchcode46
dc.subject.fieldofresearchcode460999
dc.titleNeural Network-based Handwritten Signature Verification
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
gro.date.issued2008
gro.hasfulltextFull Text
gro.griffith.authorTrevathan, Jarrod


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    Contains articles published by Griffith authors in scholarly journals.

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