Source color laser printer identification using discrete wavelet transform and feature selection algorithms

Min-Jen Tsai*, Jung Liu, Chen Sheng Wang, Ching Hua Chuang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

18 Scopus citations

Abstract

It has lately become an important research area of digital forensics to identify the characteristics and the originality of the digital devices. This paper presents a novel method to identify source color laser printer by using discrete wavelet transform and feature selection algorithms. To explore the relationship between color laser printers and color images obtained by scanning printed documents, the proposed approach utilizes image processing techniques and data exploration methods to calculate the features by applying statistical analysis on discrete wavelet transform of scanned images. A model of support vector machines sequentially will be created and trained by using these features to identify the source brand and model of color laser printer. In this study, 10 models of color laser printers and color toner from 6 different brands are used for the experiments. The experimental results reach up to 92.4% identification rate which is significantly superior to the existing known method by 5.5%. The testing performance justifies the proposed identification method is very useful for source color laser printer identification.

Original languageEnglish
Title of host publication2011 IEEE International Symposium of Circuits and Systems, ISCAS 2011
Pages2633-2636
Number of pages4
DOIs
StatePublished - 2 Aug 2011
Event2011 IEEE International Symposium of Circuits and Systems, ISCAS 2011 - Rio de Janeiro, Brazil
Duration: 15 May 201118 May 2011

Publication series

NameProceedings - IEEE International Symposium on Circuits and Systems
ISSN (Print)0271-4310

Conference

Conference2011 IEEE International Symposium of Circuits and Systems, ISCAS 2011
CountryBrazil
CityRio de Janeiro
Period15/05/1118/05/11

Keywords

  • Digital forensics
  • Discrete Wavelet Transform (DWT)
  • Support Vector Machines (SVM)

Fingerprint Dive into the research topics of 'Source color laser printer identification using discrete wavelet transform and feature selection algorithms'. Together they form a unique fingerprint.

Cite this