Identification of Inkjet Printers for Forensic Applications

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Author

Osman Arslan and Roy M. Kumontoy and Pei-Ju Chiang and Aravind K. Mikkillineni and Jan P. Allebach and George T. C. Chiu and Edward J. Delp

Entry type

inproceedings

Abstract

In forensic applications, identification of the source of a printed document can be very critical. However, this task is very challenging, because there are a variety of factors, such as the media type, the age of the printer, and the amount of colorant left in the cartridge that can affect the characteristics of a printed document. For inkjet printers, the availability of different print modes, and the use of variety of ink types adds even more complexity to this process. In this paper, we investigate different texture features of the characters printed by inkjet printers for classification based on text-only documents. We check the in model stability of these features by using a cost function. Finally, we perform stepwise discriminant analysis to reduce the feature set.

Date

2005 – 10

Booktitle

Proceedings of the IS\&T's NIP21: International Conference on Digital Printing Technologies

Key alpha

Arslan

Pages

235--238

Volume

Affiliation

Purdue University

Publication Date

2005-10-01

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@Inproceedings{ Arslan,
	title = "Identification of Inkjet Printers for Forensic Applications",
	author = "Osman Arslan and Roy M. Kumontoy and Pei-Ju Chiang and Aravind K. Mikkillineni and Jan P. Allebach and George T. C. Chiu and Edward J. Delp",
	year = "2005",
	month = "10",
	booktitle = "Proceedings of the IS\&T's NIP21: International Conference on Digital Printing Technologies",
	pages = "235--238",
	volume = "21",
	abstract = "In forensic applications, identification of the source of a printed
document can be very critical. However, this task is very
challenging, because there are a variety of factors, such as the
media type, the age of the printer, and the amount of colorant left
in the cartridge that can affect the characteristics of a printed
document. For inkjet printers, the availability of different print
modes, and the use of variety of ink types adds even more
complexity to this process. In this paper, we investigate different
texture features of the characters printed by inkjet printers for
classification based on text-only documents. We check the in
model stability of these features by using a cost function. Finally,
we perform stepwise discriminant analysis to reduce the feature
set.",
	affiliation = "Purdue University",
}