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A New Method to Copy-Move Forgery Detection in Digital Images Using Gabor Filter

  • Mostafa Mokhtari ArdakanEmail author
  • Masoud Yerokh
  • Mostafa Akhavan Saffar
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 480)

Abstract

Copy-move forgery is one of the types of image manipulation which is widely used due to simplicity and effectiveness. In this method, part of the original image is copied and pasted to the desired location in the same image. The goal of detecting copy-move forgery is to find areas of the image that are identical or very similar. One of the important issues that some of the earlier algorithms suffer from is that the forged area is rotated or resized after attachment. In this research, a new approach is presented to detect copy-move forgery in digital images based on discrete wavelet decomposition along with multiple features extracted by Gabor filter to improve the function of detecting similar areas of the image. Experiments have shown that this algorithm recognizes similar areas with relatively good accuracy and is resistant to rotation and change in the scale of the forged area.

Keywords

Detection of forgery Copy-move forgery Discrete wavelet transform Gabor filter Feature matrix 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Mostafa Mokhtari Ardakan
    • 1
    Email author
  • Masoud Yerokh
    • 1
  • Mostafa Akhavan Saffar
    • 1
  1. 1.Department of Computer and Information Technology, Faculty of EngineeringPayame Noor UniversityTehranIslamic Republic of Iran

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