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Handwritten signature verification: Online verification using a fuzzy inference system

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dc.citedby2
dc.contributor.authorFaruki M.J.en_US
dc.contributor.authorLun N.Z.en_US
dc.contributor.authorAhmed S.K.en_US
dc.contributor.authorid57209599618en_US
dc.contributor.authorid57189523646en_US
dc.contributor.authorid25926812900en_US
dc.date.accessioned2023-05-29T06:12:37Z
dc.date.available2023-05-29T06:12:37Z
dc.date.issued2016
dc.descriptionFuzzy inference; Personal computers; Biometric features; False acceptance rate; False rejection rate; Fuzzy inference systems; Handwritten signature verification; On-line verifications; Pressure sensitive; Signature verification; Image processingen_US
dc.description.abstractBiometric features posses the significant advantage of being difficult to lose, forget or duplicate. Hence, a FIS-based method is used for signature verification. FIS is well suited for this task due to the similarity between an individual signatures with subtle differences between each signature sample. Signature samples are collected using a tablet PC. The individuals draw their signatures usinga pressure sensitive pen on the tablet. Eight dynamic features are extracted from the signature data. These eight features are then fuzzified for training of a FIS. The system is then used to determine whether the signature is genuine or forged. A False Acceptance Rate (FAR) of 10.67% and a False Rejection Rate (FRR) of 8.0% demonstrate the promise of this system. � 2015 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo7412195
dc.identifier.doi10.1109/ICSIPA.2015.7412195
dc.identifier.epage237
dc.identifier.scopus2-s2.0-84971638503
dc.identifier.spage232
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84971638503&doi=10.1109%2fICSIPA.2015.7412195&partnerID=40&md5=e0bed4e69f30971f7303ee6f5827e0cb
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/22840
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceScopus
dc.sourcetitleIEEE 2015 International Conference on Signal and Image Processing Applications, ICSIPA 2015 - Proceedings
dc.titleHandwritten signature verification: Online verification using a fuzzy inference systemen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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