Abstract
In today's digital world securing different forms of content is very important in terms of protecting copyright and verifying authenticity. We have previously described the use of image texture analysis to identify the printer used to print a document. In particular we described a set of features that can be used to provide forensic information describing a document. In this paper we will introduce 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".
Original language | English |
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Pages | 223-226 |
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 |
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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