Detecting fake images using watermarks and support vector machines

Wei Lu, Fu Lai Korris Chung, Hongtao Lu, Kup Sze Choi

Research output: Journal article publicationJournal articleAcademic researchpeer-review

6 Citations (Scopus)

Abstract

With the great convenience of computer graphics and digital imaging, it becomes much easier to alter the content of images than before without any visually traces to catch these manipulations, i.e., many fake images are produced whose content is feigned. Thus, the images can not be judged whether they are real or not visually. In order to detect fake images, this paper proposes a detection scheme, which, firstly, uses watermarks to locate the alteration, and then, uses support vector machine (SVM) as a classifier to make a binary decision on whether an image is fake or real. The experimental results also demonstrated the effectiveness of the proposed scheme.
Original languageEnglish
Pages (from-to)132-136
Number of pages5
JournalComputer Standards and Interfaces
Volume30
Issue number3
DOIs
Publication statusPublished - 1 Mar 2008

Keywords

  • Fake image detection
  • Support vector machines
  • Watermarks

ASJC Scopus subject areas

  • Software
  • Hardware and Architecture
  • Law

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