Identification of InkJet Printers for Forensic Application

Osman Arslan; Roy Kumontoy; Aravind K. Mikkilineni; Jan P. Allebach; Edward J. Delp; Pei Ju Chiang; George T. Chiu

Identification of InkJet Printers for Forensic Application

Osman Arslan, Roy Kumontoy, Aravind K. Mikkilineni, Jan P. Allebach, Edward J. Delp, Pei Ju Chiang, George T. Chiu

Department of Systems and Naval Mechatronic Engineering

Research output: Contribution to conference › Paper › peer-review

17 Citations (Scopus)

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.

Original language	English
Pages	235-238
Number of pages	4
Publication status	Published - 2005
Event	NIP21: 21st International Conference on Digital Printing Technologies - Final Program and Proceedings - Baltimore, MD, United States Duration: 2005 Sept 18 → 2005 Sept 23

Conference

Conference	NIP21: 21st International Conference on Digital Printing Technologies - Final Program and Proceedings
Country/Territory	United States
City	Baltimore, MD
Period	05-09-18 → 05-09-23

All Science Journal Classification (ASJC) codes

Media Technology
Computer Science Applications

Cite this

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title = "Identification of InkJet Printers for Forensic Application",

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.",

author = "Osman Arslan and Roy Kumontoy and Mikkilineni, {Aravind K.} and Allebach, {Jan P.} and Delp, {Edward J.} and Chiang, {Pei Ju} and Chiu, {George T.}",

year = "2005",

language = "English",

pages = "235--238",

note = "NIP21: 21st International Conference on Digital Printing Technologies - Final Program and Proceedings ; Conference date: 18-09-2005 Through 23-09-2005",

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T1 - Identification of InkJet Printers for Forensic Application

AU - Arslan, Osman

AU - Kumontoy, Roy

AU - Mikkilineni, Aravind K.

AU - Allebach, Jan P.

AU - Delp, Edward J.

AU - Chiang, Pei Ju

AU - Chiu, George T.

PY - 2005

Y1 - 2005

N2 - 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.

AB - 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.

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M3 - Paper

AN - SCOPUS:30044434467

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T2 - NIP21: 21st International Conference on Digital Printing Technologies - Final Program and Proceedings

Y2 - 18 September 2005 through 23 September 2005

ER -

Identification of InkJet Printers for Forensic Application

Abstract

Conference

All Science Journal Classification (ASJC) codes

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