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

Weina Jiang, Anthony T.S. Ho, Helen Treharne, Yun Q. Shi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

13 Scopus citations


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.

Original languageEnglish (US)
Title of host publicationAdvances in Multimedia Information Processing, PCM 2010 - 11th Pacific Rim Conference on Multimedia, Proceedings
Number of pages10
EditionPART 1
StatePublished - 2010
Event11th Pacific Rim Conference on Multimedia, PCM 2010 - Shanghai, China
Duration: Sep 21 2010Sep 24 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 1
Volume6297 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other11th Pacific Rim Conference on Multimedia, PCM 2010

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science


  • Benford's law
  • Digital forensics
  • composite signature
  • multi-size block based DCT coefficients
  • printer identification


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