Copy-move forgery detection algorithm using frequency transforms, surf and mser

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

1 Scopus citations

Abstract

The number of digital images shared in the internet is growing faster, increasing the risk that these images be modified causing moral or economic damage. Thus, it is necessary to develop efficient image authentication algorithms that be able to detect malicious modification on the digital images. To solve this problem a tampering detection algorithm is proposed to detect if a digital image was tampered, using the Copy-Move technique. In the proposed scheme the input image is segmented into N×M blocks whose similarity is analyzed using frequency domain techniques, together with SURF or MSER detectors. The evaluation results show the desirable features of proposed approach.

Original languageEnglish
Title of host publication2019 7th International Workshop on Biometrics and Forensics, IWBF 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728106229
DOIs
StatePublished - May 2019
Event7th International Workshop on Biometrics and Forensics, IWBF 2019 - Cancun, Mexico
Duration: 2 May 20193 May 2019

Publication series

Name2019 7th International Workshop on Biometrics and Forensics, IWBF 2019

Conference

Conference7th International Workshop on Biometrics and Forensics, IWBF 2019
Country/TerritoryMexico
CityCancun
Period2/05/193/05/19

Keywords

  • Copy-move
  • MSER
  • SURF
  • Tamper detection

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