Digital Image Forgery Detection Using Local Binary Pattern (LBP) and Harlick Transform with classification

M. Sabeena, Lizy Abraham, Anju Varghese

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

1 Citation (Scopus)

Abstract

Images are a natural carrier of information. Images are used in an immense range of applications nowadays, including military purposes, surveillance systems, insurance processing, the internet, television, advertising media, forensic investigation, and so on. However, because powerful, low-cost image editing tools are readily available, these images can be easily tampered with. Therefore, the authenticity of images has become questionable. In this age of advanced PC innovation, digital picture and video have high significance in our everyday life. For editing or modifying the original multimedia contents, a range of low-cost multimedia content handling tools, techniques, and applications with various advanced features are available on the Internet, such as Adobe Photoshop. To handle this issue, numerous investigations have been centered around how to identify, this kind of controlled media. Existing computerized fraud identification techniques are grouped into two significant classes: Active and passive. This paper proposes a technique of copy-move forgery detection in which feature extraction is done by Local Binary Patterns (LBP) and Harlick features. For the verification of the authenticity of the image various supervised machine learning classifiers like Support Vector Machine (SVM), Random Forest (RF) Gradient Boost classifiers are used and the performance of forgery detection is based on these classifiers are analyzed.

Original languageEnglish
Title of host publication2021 IEEE International Power and Renewable Energy Conference, IPRECON 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665401371
DOIs
Publication statusPublished - 2021
Externally publishedYes
Event2nd IEEE International Power and Renewable Energy Conference, IPRECON 2021 - Kollam, India
Duration: 24 Sep 202126 Sep 2021

Publication series

Name2021 IEEE International Power and Renewable Energy Conference, IPRECON 2021

Conference

Conference2nd IEEE International Power and Renewable Energy Conference, IPRECON 2021
Country/TerritoryIndia
CityKollam
Period24/09/202126/09/2021

Keywords

  • Copy move forgery
  • GBC.
  • Harlick transform
  • local binary pattern
  • RF
  • SVM

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