University of Surrey

Test tubes in the lab Research in the ATI Dance Research

A novel multi-size block Benford's law scheme for printer identification

Jiang, W, Ho, ATS, Treharne, H and Shi, YQ (2010) A novel multi-size block Benford's law scheme for printer identification In: PCM 2010: 11th Pacific Rim Conference on Multimedia, 2010-09-21 - 2010-09-24, Shanghai, China.

[img] Text
Restricted to Repository staff only
Available under License : See the attached licence file.

Download (400kB)
[img] Text (licence)
Restricted to Repository staff only

Download (33kB)


Identifying the originating device for a given media, i.e. the type, brand, model and other characteristics of the device, is currently one of the important fields of digital forensics. This paper proposes a forensic technique based on the Benford’s law to identify the printer’s brand and model from the printed-and-scanned images at which the first digit probability distribution of multi-size block DCT coefficients are extracted that constitutes a feature vector as the input to support vector machine (SVM) classifier. The proposed technique is different from the traditional use of noise feature patterns appeared in the literature. It uses as few as nine numbers of forensic features representing each printer by leveraging properties of the Benford’s law for printer identification. Experiments conducted over electrophotographic (EP) printers and deskjet printers achieve an average of 96.0% classification rate of identification for five distinct printer brands and an average of 94.0% classification rate for six diverse printer models out of those five brands.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Divisions : Surrey research (other units)
Authors : Jiang, W, Ho, ATS, Treharne, H and Shi, YQ
Date : 2010
DOI : 10.1007/978-3-642-15702-8_59
Depositing User : Symplectic Elements
Date Deposited : 28 Mar 2017 14:42
Last Modified : 23 Jan 2020 12:47

Actions (login required)

View Item View Item


Downloads per month over past year

Information about this web site

© The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom.
+44 (0)1483 300800