Efficient Approach Towards Detection and Classification for Image Forgery by Using Machine Learning Technique-Reference-Cited by-同舟云学术

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Efficient Approach Towards Detection and Classification for Image Forgery by Using Machine Learning Technique

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

Hussein Abbas Hameed Abdul¹,Kavitha R.²,Kumar Bura Vijay³,Issa Ali Ashoor⁴,AL-Attabi Kassem⁵

Affiliation:

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

2. Vivekanandha College of Engineering for Women (Autonomous),Department of ECE,Tiruchengode,India

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

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

5. The Islamic university,Najaf,Iraq

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10435701/10435648/10435770.pdf?arnumber=10435770

Reference17 articles.

1. Detection of Copy-Move Forgery in Digital Image Using Multi-scale, Multi-stage Deep Learning Model

2. Detection of Image Level Forgery with Various Constraints Using DFDC Full and Sample Datasets

3. A Low Area High Speed FPGA Implementation of AES Architecture for Cryptography Application

4. A Dataset of Photos and Videos for Digital Forensics Analysis Using Machine Learning Processing

5. Improving image copy-move forgery detection with particle swarm optimization techniques

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