A Keypoint-Based Two-Step Copy-Move Forgery Detection Technique Using Perceptual Hashing and Hamming Distance

Author:

Mukherjee Soumya,Pal Arup Kumap,Islam SK Hafizul,Maji Soham

Publisher

Elsevier BV

Reference35 articles.

1. A sift-based forensic method for copy-move attack detection and transformation recovery;I Amerini;IEEE transactions on information forensics and security,2011

2. Copy-move forgery detection by matching triangles of keypoints;E Ardizzone;IEEE Transactions on Information Forensics and Security,2015

3. Single and multiple copy-move forgery detection and localization in digital images based on the sparsely encoded distinctive features and dbscan clustering;M Bilal;Arabian Journal for Science and Engineering,2020

4. Exposing duplicated regions affected by reflection, rotation and scaling;S Bravo-Solorio;2011 IEEE international conference on acoustics, speech and signal processing,2011

5. Copy-move forgery detection based on keypoint clustering and similar neighborhood search algorithm;H Chen;IEEE Access,2020

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