Publication:
Wavelet Analysis of Resultant Velocity Belonging to Genuine and Forged Signatures

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dc.citedby2
dc.contributor.authorSyed Ahmad S.M.en_US
dc.contributor.authorLoo L.Y.en_US
dc.contributor.authorWan Adnan W.A.en_US
dc.contributor.authorMd. Anwar R.en_US
dc.contributor.authorid24721182400en_US
dc.contributor.authorid57188931634en_US
dc.contributor.authorid6506665562en_US
dc.contributor.authorid24721188400en_US
dc.date.accessioned2023-05-29T06:39:11Z
dc.date.available2023-05-29T06:39:11Z
dc.date.issued2017
dc.descriptionadult; analysis of variance; article; decomposition; discrete wavelet transform; forensic science; human; perception; wavelet analysisen_US
dc.description.abstractThis study presents a wavelet analysis of resultant velocity features belonging to genuine and forged groups of signature sample. Signatures of individuals were initially classified based on visual human perceptions of their relative sizes, complexities, and legibilities of the genuine counterparts. Then, the resultant velocity was extracted and modeled through wavelet analysis from each sample. The wavelet signal was decomposed into several layers based on maximum overlap discrete wavelet transform (MODWT). Next, the zero crossing rate features were calculated from all the high wavelet sub-bands. A total of seven hypotheses were then tested using a two-way ANOVA testing methodology. Of these, four hypotheses were conducted to test for significance differences between distributions. In addition, three hypotheses were run to provide test for interaction between two factors of signature authentication versus perceived classification. The results demonstrated that both feature distributions belonging to genuine and forged groups of samples cannot be distinguished by themselves. Instead, they were significantly different under the influence of two other inherent factors, namely perceived size and legibility. Such new findings are useful information particularly in providing bases for forensic justifications in establishing the authenticity of handwritten signature specimens. � 2016 American Academy of Forensic Sciencesen_US
dc.description.natureFinalen_US
dc.identifier.doi10.1111/1556-4029.13303
dc.identifier.epage381
dc.identifier.issue2
dc.identifier.scopus2-s2.0-85007286975
dc.identifier.spage374
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85007286975&doi=10.1111%2f1556-4029.13303&partnerID=40&md5=73a3bad4b0a667480adb6e16dce98c43
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/23292
dc.identifier.volume62
dc.publisherBlackwell Publishing Inc.en_US
dc.sourceScopus
dc.sourcetitleJournal of Forensic Sciences
dc.titleWavelet Analysis of Resultant Velocity Belonging to Genuine and Forged Signaturesen_US
dc.typeArticleen_US
dspace.entity.typePublication
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