Hybrid Method for Copy-Move Forgery Detection in Digital Images

  • I. J. Sreelakshmy
  • Binsu C. Kovoor
Conference paper
Part of the Lecture Notes in Computational Vision and Biomechanics book series (LNCVB, volume 30)


Digital image authenticity is significant in many social areas. Image forgery detection becomes a challenging task. Copy-move forgery is one of the tampering techniques which is frequently used, part of the image is copied and pasted to other parts of the same image. This paper proposes a new method for copy-move forgery detection. Proposed method integrates both block-based and keypoint-based forgery detection. Host image is first divided into blocks and keypoints are extracted from each image block. Blocks are compared based on the keypoints in them. Number of similar keypoints identified from a pair of blocks exceeds a preset threshold, then those block pair is matched. Matched blocks are considered as the forged region and Output is displayed after neighbour pixel merging and morphology operations. The accuracy of the method is calculated and analysed with different images.


Copy-move forgery Segmentation Keypoints 


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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Cochin University of Science and TechnologyKochiIndia

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