The Center for Education and Research in Information Assurance and Security (CERIAS)

The Center for Education and Research in
Information Assurance and Security (CERIAS)

Printer Forensics using SVM Techniques

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Author

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

Entry type

inproceedings

Abstract

In today's digital world securing different forms of content is very important in terms of protecting copyright and verifying authenticity. We have pre- viously described the use of image texture analy- sis to identify the printer used to print a docu- ment. In particular we described a set of features that can be used to provide forensic information describing a document. In this paper we will in- troduce a printer identification process that uses a support vector machine classifier. We will also examine the effect of font size, font type, paper type, and "printer age".

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Date

2005 – 10

Booktitle

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

Key alpha

Mikkilineni

Pages

223--226

Volume

21

Affiliation

Purdue University

Publication Date

2005-10-01

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