Wavelet Analysis of Resultant Velocity Belonging to Genuine and Forged Signatures

adult; analysis of variance; article; decomposition; discrete wavelet transform; forensic science; human; perception; wavelet analysis

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Bibliographic Details
Main Authors: Syed Ahmad S.M., Loo L.Y., Wan Adnan W.A., Md. Anwar R.
Other Authors: 24721182400
Format: Article
Published: Blackwell Publishing Inc. 2023
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author Syed Ahmad S.M.
Loo L.Y.
Wan Adnan W.A.
Md. Anwar R.
author2 24721182400
author_facet 24721182400
Syed Ahmad S.M.
Loo L.Y.
Wan Adnan W.A.
Md. Anwar R.
author_sort Syed Ahmad S.M.
building UNITEN Library
collection Institutional Repository
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
continent Asia
country Malaysia
description adult; analysis of variance; article; decomposition; discrete wavelet transform; forensic science; human; perception; wavelet analysis
format Article
id my.uniten.dspace-23292
institution Universiti Tenaga Nasional
publishDate 2023
publisher Blackwell Publishing Inc.
record_format dspace
spelling my.uniten.dspace-232922023-05-29T14:39:11Z Wavelet Analysis of Resultant Velocity Belonging to Genuine and Forged Signatures Syed Ahmad S.M. Loo L.Y. Wan Adnan W.A. Md. Anwar R. 24721182400 57188931634 6506665562 24721188400 adult; analysis of variance; article; decomposition; discrete wavelet transform; forensic science; human; perception; wavelet analysis This 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 Sciences Final 2023-05-29T06:39:11Z 2023-05-29T06:39:11Z 2017 Article 10.1111/1556-4029.13303 2-s2.0-85007286975 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85007286975&doi=10.1111%2f1556-4029.13303&partnerID=40&md5=73a3bad4b0a667480adb6e16dce98c43 https://irepository.uniten.edu.my/handle/123456789/23292 62 2 374 381 Blackwell Publishing Inc. Scopus
spellingShingle Syed Ahmad S.M.
Loo L.Y.
Wan Adnan W.A.
Md. Anwar R.
Wavelet Analysis of Resultant Velocity Belonging to Genuine and Forged Signatures
title Wavelet Analysis of Resultant Velocity Belonging to Genuine and Forged Signatures
title_full Wavelet Analysis of Resultant Velocity Belonging to Genuine and Forged Signatures
title_fullStr Wavelet Analysis of Resultant Velocity Belonging to Genuine and Forged Signatures
title_full_unstemmed Wavelet Analysis of Resultant Velocity Belonging to Genuine and Forged Signatures
title_short Wavelet Analysis of Resultant Velocity Belonging to Genuine and Forged Signatures
title_sort wavelet analysis of resultant velocity belonging to genuine and forged signatures
url_provider http://dspace.uniten.edu.my/