A fuzzy c-means clustering-based fragile watermarking scheme for image authentication

Wei Che Chen, Ming Shi Wang

Research output: Contribution to journalArticlepeer-review

89 Citations (Scopus)

Abstract

In recent years, various fragile watermarking schemes have been proposed for image authentication and integrity verification. In this paper, a novel block-based fragile watermarking scheme for image authentication and tamper proofing is proposed. Realizing that block-wise dependency is a basic requirement for fragile watermarking schemes to withstand counterfeiting attacks, the proposed scheme uses the fuzzy c-means (FCM) clustering technique to create the relationship between image blocks. The effectiveness of the proposed scheme is demonstrated through a series of attack simulations. Experimental results show that the proposed scheme not only provides satisfactory imperceptibility, but also achieves superior tamper detection and localization accuracy under different attacks, such as the cut-and-paste attack and the vector quantization (VQ) attack.

Original languageEnglish
Pages (from-to)1300-1307
Number of pages8
JournalExpert Systems With Applications
Volume36
Issue number2 PART 1
DOIs
Publication statusPublished - 2009 Mar

All Science Journal Classification (ASJC) codes

  • Engineering(all)
  • Computer Science Applications
  • Artificial Intelligence

Fingerprint Dive into the research topics of 'A fuzzy c-means clustering-based fragile watermarking scheme for image authentication'. Together they form a unique fingerprint.

Cite this