The individuality of Relatively Permanent Pigmented or Vascular Skin Marks (RPPVSM) in independently and uniformly distributed patterns
With recent advances in multimedia technology, the involvement of digital images/videos in crimes has been increasing significantly. Identification of individuals in these images/videos can be challenging. For example, in cases of child sexual abuse, child pornography, and masked gunmen, the faces o...
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sg-ntu-dr.10356-995002020-05-28T07:17:58Z The individuality of Relatively Permanent Pigmented or Vascular Skin Marks (RPPVSM) in independently and uniformly distributed patterns Nurhudatiana, Arfika Kong, Adams Wai-Kin Matinpour, Keyan Chon, Deborah Altieri, Lisa Cho, Siu-Yeung Craft, Noah School of Computer Engineering DRNTU::Engineering::Computer science and engineering With recent advances in multimedia technology, the involvement of digital images/videos in crimes has been increasing significantly. Identification of individuals in these images/videos can be challenging. For example, in cases of child sexual abuse, child pornography, and masked gunmen, the faces of criminals or victims are often hidden or covered and only some body parts (e.g., back, thigh, and arm) can be observed from the digital evidence. Although tattoos and scars can be used for identification in some cases, they are neither universal nor unique. We propose a group of skin marks named Relatively Permanent Pigmented or Vascular Skin Marks (RPPVSM) as a biometric trait for forensic identification. To support the scientific underpinnings of using RPPVSM patterns as a novel biometric trait, the individuality was studied. RPPVSM on the backs of 269 male subjects were examined. We found that RPPVSM in middle to low density patterns tend to form an independent and uniform distribution, while RPPVSM in high density patterns tend to form clusters. We present in this paper an individuality model for the independently and uniformly distributed RPPVSM patterns. When compared to the empirical results, this model fits the empirical distribution very well. Finally, the predicted error rates for verification and identification are reported. 2013-11-07T06:23:07Z 2019-12-06T20:08:07Z 2013-11-07T06:23:07Z 2019-12-06T20:08:07Z 2013 2013 Journal Article Nurhudatiana, A., Kong, A. W.-K., Matinpour, K., Chon, D., Altieri, L., Cho, S.-Y., et al. (2013). The Individuality of Relatively Permanent Pigmented or Vascular Skin Marks (RPPVSM) in Independently and Uniformly Distributed Patterns. IEEE Transactions on Information Forensics and Security, 8(6), 998-1012. https://hdl.handle.net/10356/99500 http://hdl.handle.net/10220/17369 10.1109/TIFS.2013.2258338 en IEEE transactions on information forensics and security |
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DRNTU::Engineering::Computer science and engineering Nurhudatiana, Arfika Kong, Adams Wai-Kin Matinpour, Keyan Chon, Deborah Altieri, Lisa Cho, Siu-Yeung Craft, Noah The individuality of Relatively Permanent Pigmented or Vascular Skin Marks (RPPVSM) in independently and uniformly distributed patterns |
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With recent advances in multimedia technology, the involvement of digital images/videos in crimes has been increasing significantly. Identification of individuals in these images/videos can be challenging. For example, in cases of child sexual abuse, child pornography, and masked gunmen, the faces of criminals or victims are often hidden or covered and only some body parts (e.g., back, thigh, and arm) can be observed from the digital evidence. Although tattoos and scars can be used for identification in some cases, they are neither universal nor unique. We propose a group of skin marks named Relatively Permanent Pigmented or Vascular Skin Marks (RPPVSM) as a biometric trait for forensic identification. To support the scientific underpinnings of using RPPVSM patterns as a novel biometric trait, the individuality was studied. RPPVSM on the backs of 269 male subjects were examined. We found that RPPVSM in middle to low density patterns tend to form an independent and uniform distribution, while RPPVSM in high density patterns tend to form clusters. We present in this paper an individuality model for the independently and uniformly distributed RPPVSM patterns. When compared to the empirical results, this model fits the empirical distribution very well. Finally, the predicted error rates for verification and identification are reported. |
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School of Computer Engineering |
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School of Computer Engineering Nurhudatiana, Arfika Kong, Adams Wai-Kin Matinpour, Keyan Chon, Deborah Altieri, Lisa Cho, Siu-Yeung Craft, Noah |
format |
Article |
author |
Nurhudatiana, Arfika Kong, Adams Wai-Kin Matinpour, Keyan Chon, Deborah Altieri, Lisa Cho, Siu-Yeung Craft, Noah |
author_sort |
Nurhudatiana, Arfika |
title |
The individuality of Relatively Permanent Pigmented or Vascular Skin Marks (RPPVSM) in independently and uniformly distributed patterns |
title_short |
The individuality of Relatively Permanent Pigmented or Vascular Skin Marks (RPPVSM) in independently and uniformly distributed patterns |
title_full |
The individuality of Relatively Permanent Pigmented or Vascular Skin Marks (RPPVSM) in independently and uniformly distributed patterns |
title_fullStr |
The individuality of Relatively Permanent Pigmented or Vascular Skin Marks (RPPVSM) in independently and uniformly distributed patterns |
title_full_unstemmed |
The individuality of Relatively Permanent Pigmented or Vascular Skin Marks (RPPVSM) in independently and uniformly distributed patterns |
title_sort |
individuality of relatively permanent pigmented or vascular skin marks (rppvsm) in independently and uniformly distributed patterns |
publishDate |
2013 |
url |
https://hdl.handle.net/10356/99500 http://hdl.handle.net/10220/17369 |
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1681058752618299392 |