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Australian Journal of Forensic Sciences Volume 53, 2021 - Issue 4
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Original Articles

A robust technique for copy-move forgery detection from small and extremely smooth tampered regions based on the DHE-SURF features and mDBSCAN clustering

Muhammad Bilala Department of Software Engineering, University of Engineering and Technology, Taxila, Pakistan
,
Hafiz Adnan Habibb Department of Computer Engineering, University of Engineering and Technology, Taxila, Pakistan
,
Zahid Mehmoodb Department of Computer Engineering, University of Engineering and Technology, Taxila, PakistanCorrespondence[email protected]
,
Rehan Mehmood Yousafa Department of Software Engineering, University of Engineering and Technology, Taxila, Pakistan
,
Tanzila Sabac Artificial Intelligence and Data Analytics (AIDA) Lab, CCIS Prince Sultan University, Riyadh, Saudi Arabia
&
Amjad Rehmanc Artificial Intelligence and Data Analytics (AIDA) Lab, CCIS Prince Sultan University, Riyadh, Saudi Arabia
Pages 459-482 | Received 04 Nov 2019, Accepted 06 Jan 2020, Published online: 29 Jan 2020

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D. Suganya, K. Thirunadana Sikamani & J. Sasikala. (2022) Copy-move forgery detection of medical images using golden ball optimization. International Journal of Computers and Applications 44:8, pages 729-737.
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S. Uma & P. D. Sathya. (2022) Copy-move forgery detection of digital images using football game optimization. Australian Journal of Forensic Sciences 54:2, pages 258-279.
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Articles from other publishers (21)

Navneet Kaur, Neeru Jindal & Kulbir Singh. (2024) Passive Image Forgery Detection Techniques: A Review, Challenges, and Future Directions. Wireless Personal Communications 134:3, pages 1491-1529.
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Yıldız Aydın. (2023) Automated identification of copy‐move forgery using Hessian and patch feature extraction techniques. Journal of Forensic Sciences 69:1, pages 131-138.
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Fatemeh Zare Mehrjardi, Ali Mohammad Latif, Mohsen Sardari Zarchi & Razieh Sheikhpour. (2023) A survey on deep learning-based image forgery detection. Pattern Recognition 144, pages 109778.
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M. R. Archana, Deepak N. Biradar & J. Dayanand. (2023) Image forgery detection in forensic science using optimization based deep learning models. Multimedia Tools and Applications.
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Tanzila Saba, Amjad Rehman, Tariq Sadad & Zahid Mehmood. (2021) Copy-move image forged information detection and localisation in digital images using deep convolutional network. Journal of Information Science 49:5, pages 1325-1334.
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Ruchi Gupta, Pushpa Singh, Tanweer Alam & Shivani Agarwal. (2022) A deep neural network with hybrid spotted hyena optimizer and grasshopper optimization algorithm for copy move forgery detection. Multimedia Tools and Applications 82:16, pages 24547-24572.
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S. Uma & P. D. Sathya. (2023) Forgery Detection of Digital Images Using Teaching–Learning Based Optimization and Principal Component Analysis. Sensing and Imaging 24:1.
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Selvarathi C, Bharath M, Gowrishankar J & Karthikeyan R. (2023) Copy Move Counterfeiting Identification based on CNN using Scalar Invariant Feature Technique. Copy Move Counterfeiting Identification based on CNN using Scalar Invariant Feature Technique.
Mahmoud H. Farhan, Khalid Shaker & Sufyan Al-Janabi. (2023) Double Dual Convolutional Neural Network (D2CNN) for Copy-Move Forgery Detection. Double Dual Convolutional Neural Network (D2CNN) for Copy-Move Forgery Detection.
R. Dhanya & R. Kalaiselvi. (2023) Copy Move Forgery Detection Using Novel Quadsort Moth Flame Light Gradient Boosting Machine. Computer Systems Science and Engineering 45:2, pages 1577-1593.
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Zaid Nidhal Khudhair, Farhan Mohamed, Amjad Rehman, Tanzila Saba & Saeed Ali bahaj. (2023) Detection of Copy-Move Forgery in Digital Images Using Singular Value燚ecomposition. Computers, Materials & Continua 74:2, pages 4135-4147.
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Abhishek Kashyap, Kapil Dev Tyagi & Vaibhav Bhushan Tyagi. (2023) Robust and Optimized Algorithm for Detection of Copy-Rotate-Move Tempering. IEEE Access 11, pages 66626-66640.
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Baheesa Fatima, Abdul Ghafoor, Syed Sohaib Ali & M. Mohsin Riaz. (2022) FAST, BRIEF and SIFT based image copy-move forgery detection technique. Multimedia Tools and Applications 81:30, pages 43805-43819.
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Sreenivasu Tinnathi & G. Sudhavani. (2022) Copy-Move Forgery Detection Using Superpixel Clustering Algorithm and Enhanced GWO Based AlexNet Model. Cybernetics and Information Technologies 22:4, pages 91-110.
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Yıldız Aydın. (2022) A new Copy-Move forgery detection method using LIOP. Journal of Visual Communication and Image Representation 89, pages 103661.
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Zahid Mehmood, Hassan Nazeer Chaudhry, Rizwan Ali Naqvi, Farzana Kulsoom, Asmaa Munshi & Muhammad Bilal. (2022) Passive Framework of Sparse Region Duplication Detection from Digital Images. Journal of Sensors 2022, pages 1-16.
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Azeddine Bensaad, Khaled Loukhaoukha & Said Sadoudi. (2022) Keypoint-based copy-move forgery detection in digital images: a survey. Keypoint-based copy-move forgery detection in digital images: a survey.
Amjad Rehman. (2021) Light microscopic iris classification using ensemble multi‐class support vector machine . Microscopy Research and Technique 84:5, pages 982-991.
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Tahira Nazir, Aun Irtaza, Ali Javed, Hafiz Malik, Awais Mehmood & Marriam Nawaz. (2021) Digital Image Forensic Analysis using Hybrid Features. Digital Image Forensic Analysis using Hybrid Features.
Muhammad Salman & Andreas Uhl. (2021) Countering Anti-forensics of SIFT-based Copy-Move Detection. Countering Anti-forensics of SIFT-based Copy-Move Detection.
Aroof Aimen, Amandeep Kaur & Sahil Sidheekh. (2020) Scale Invariant Fast PHT based Copy-Move Forgery Detection. Scale Invariant Fast PHT based Copy-Move Forgery Detection.

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