Image Manipulation Detection and Classification Using SIFT and SURF with Support Vector Machine Classifier-Reference-Cited by-同舟云学术

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Image Manipulation Detection and Classification Using SIFT and SURF with Support Vector Machine Classifier

Published:2023-12-04 Issue: Volume:2 Page:1-6
ISSN:
Container-title:2023 3rd International Conference on Mobile Networks and Wireless Communications (ICMNWC)
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Author:

Ramadan Ghazi Mohamad¹,Naser Zamen Latef²,Jagadish Sripelli³,Phadke Rekha⁴,Almusawi Muntather⁵

Affiliation:

1. College of MLT, Ahl Al Bayt University,Karbala,Iraq

2. National University of Science and Technology,Dhi Qar,Iraq

3. School of Computer Science & Artificial Intelligence, SR University,Warangal,Telangana,India

4. Nitte Meenakshi Institute of Technology,Department of Electronics and Communication Engineering,Bengaluru,India

5. The Islamic University,Najaf,Iraq

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10435701/10435648/10435920.pdf?arnumber=10435920

Reference15 articles.

1. MiniNet: a concise CNN for image forgery detection

2. Learning JPEG Compression Artifacts for Image Manipulation Detection and Localization

3. Adaptive partitioning‐based copy‐move image forgery detection using optimal enabled deep neuro‐fuzzy network

4. Image Forgery Detection Using Low Dimensional Texture Feature Vector

5. Towards JPEG-Resistant Image Forgery Detection and Localization Via Self-Supervised Domain Adaptation

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