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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2023
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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 |
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| description |
adult; analysis of variance; article; decomposition; discrete wavelet transform; forensic science; human; perception; wavelet analysis |
| author2 |
24721182400 |
| author_facet |
24721182400 Syed Ahmad S.M. Loo L.Y. Wan Adnan W.A. Md. Anwar R. |
| format |
Article |
| author |
Syed Ahmad S.M. Loo L.Y. Wan Adnan W.A. Md. Anwar R. |
| 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 |
| author_sort |
Syed Ahmad S.M. |
| title |
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_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_sort |
wavelet analysis of resultant velocity belonging to genuine and forged signatures |
| publisher |
Blackwell Publishing Inc. |
| publishDate |
2023 |
| _version_ |
1806426710299639808 |