Wavelet analysis of resultant velocity belonging to genuine and forged signatures
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....
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
American Academy of Forensic Sciences
2016
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| Online Access: | http://psasir.upm.edu.my/id/eprint/63706/1/Wavelet%20analysis%20of%20resultant%20velocity%20belonging%20to%20genuine%20and%20forged%20signatures.pdf |
| _version_ | 1796977788819865600 |
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| author | Ahmad, Sharifah Mumtazah Syed Ling, Yim Loo Adnan, Wan Azizun Wan Anwar, Rina Md. |
| author_facet | Ahmad, Sharifah Mumtazah Syed Ling, Yim Loo Adnan, Wan Azizun Wan Anwar, Rina Md. |
| author_sort | Ahmad, Sharifah Mumtazah Syed |
| collection | UPM |
| description | 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. |
| first_indexed | 2024-03-06T09:45:13Z |
| format | Article |
| id | upm.eprints-63706 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T09:45:13Z |
| publishDate | 2016 |
| publisher | American Academy of Forensic Sciences |
| record_format | dspace |
| spelling | upm.eprints-637062018-11-30T03:57:32Z http://psasir.upm.edu.my/id/eprint/63706/ Wavelet analysis of resultant velocity belonging to genuine and forged signatures Ahmad, Sharifah Mumtazah Syed Ling, Yim Loo Adnan, Wan Azizun Wan Anwar, Rina Md. 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. American Academy of Forensic Sciences 2016 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/63706/1/Wavelet%20analysis%20of%20resultant%20velocity%20belonging%20to%20genuine%20and%20forged%20signatures.pdf Ahmad, Sharifah Mumtazah Syed and Ling, Yim Loo and Adnan, Wan Azizun Wan and Anwar, Rina Md. (2016) Wavelet analysis of resultant velocity belonging to genuine and forged signatures. Journal of Forensic Sciences, 62 (2). 374 - 381. ISSN 0022-1198; ESSN: 1556-4029 10.1111/1556-4029.13303 |
| spellingShingle | Ahmad, Sharifah Mumtazah Syed Ling, Yim Loo Adnan, Wan Azizun Wan Anwar, Rina Md. 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 | http://psasir.upm.edu.my/id/eprint/63706/1/Wavelet%20analysis%20of%20resultant%20velocity%20belonging%20to%20genuine%20and%20forged%20signatures.pdf |
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