Digital image forgery detection based on shadow texture features

Ira Tuba, Eva Tuba, Marko Beko

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

3 Citations (Scopus)


Digital images are widely used nowadays and there are powerful and convenient software tools for various types of image processing and enhancement. Unfortunately, these tools also facilitate for easy digital image forgery. In this paper we present an algorithm for digital image forgery detection that deals with the situation when some object, together with its shadow, is copied and pasted to some other location in the same or different image. Algorithm is based on the property that shadows do not change the texture of the underlaying surface. Our algorithms uses local binary patterns from shadow and adjacent non-shadow regions and features extracted from their histograms where energy and entropy proved to be the most discriminative. The proposed method was tested on some benchmark forged images and compared with other approaches from literature where it proved to be successful in detection of this type of forgery.

Original languageEnglish
Title of host publication24th Telecommunications Forum, TELFOR 2016
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages4
ISBN (Electronic)9788674666494
Publication statusPublished - 2016
Event24th Telecommunications Forum, TELFOR 2016 - Belgrade, Serbia
Duration: 22 Nov 201623 Nov 2016


Conference24th Telecommunications Forum, TELFOR 2016


  • Digital image forgery detection
  • Local binary patterns
  • Shadow consistency
  • Texture consistency


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