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Volume: 17 | Article ID: art00035_2
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Metrology of Small Scale Features in Electrophotographic Non-Image Areas as Forensic Evidence
Tobin Tanaka
  DOI :  10.2352/ISSN.2169-4451.2001.17.1.art00035_2  Published Online :  January 2001
Abstract

The forensic community has traditionally relied on the qualitative examination of large-scale features for the identification of the electrophotographic device which produced a document. When no such large-scale features are present on a document, identification of the electrophotographic device which produced it is not usually possible. The following is a qualitative description of a proposed feasibility study to determine whether or not the small-scale features in non-image areas can be quantified for identification purposes.

Journal Title : NIP & Digital Fabrication Conference
Publisher Name : Society of Imaging Science and Technology
Publisher Location : 7003 Kilworth Lane, Springfield, VA 22151, USA
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 DOI 10.2352/ISSN.2169-4451.2001.17.1.art00035_2
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  Cite this article 

Tobin Tanaka, "Metrology of Small Scale Features in Electrophotographic Non-Image Areas as Forensic Evidence"  in Proc. IS&T Int'l Conf. on Digital Printing Technologies (NIP17),  2001,  pp 590 - 593,  https://doi.org/10.2352/ISSN.2169-4451.2001.17.1.art00035_2

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Copyright © Society for Imaging Science and Technology 2001
72010410
NIP & Digital Fabrication Conference
nip digi fabric conf
2169-4451
Society of Imaging Science and Technology
7003 Kilworth Lane, Springfield, VA 22151, USA
2169-4451(20010101)2001:2L.590;1-
nip_v2001n2/splitsection35.xml
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Articles
Metrology of Small Scale Features in Electrophotographic Non-Image Areas as Forensic Evidence
TanakaTobin
01012001
2001
2
590
593
2001
The forensic community has traditionally relied on the qualitative examination of large-scale features for the identification of the electrophotographic device which produced a document. When no such large-scale features are present on a document, identification of the electrophotographic device which produced it is not usually possible. The following is a qualitative description of a proposed feasibility study to determine whether or not the small-scale features in non-image areas can be quantified for identification purposes.