A two dimensional camera identification method based on image sensor noise

Lit Hung Chan, Ngai Fong Law, Wan Chi Siu

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

4 Citations (Scopus)

Abstract

In this paper, we propose a two-dimensional digital camera identification method based on the photo-response non-uniformity (PRNU). The traditional identification method is based on a correlation estimator which calculates the correlation between the reference PRNU and the PRNU extracted from the testing image. However, the correlation calculated greatly depends on the image content. To reduce the image content effect in classification, a correlation predictor is trained based on different types of image features. By using the predicted correlation and the actual correlation, a 2D classifier using support vector machine is proposed in this paper. Experimental results show that the proposed method can have a more flexible threshold setting which gives a better identification results as compared to the traditional identification method.
Original languageEnglish
Title of host publication2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012 - Proceedings
Pages1741-1744
Number of pages4
DOIs
Publication statusPublished - 23 Oct 2012
Event2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012 - Kyoto, Japan
Duration: 25 Mar 201230 Mar 2012

Conference

Conference2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012
CountryJapan
CityKyoto
Period25/03/1230/03/12

Keywords

  • Camera identification
  • Digital Forensics
  • Photo-response non-uniformity (PRNU)

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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