Paper Title
Efficient Copy-Move Forgery Detection through Identical Key feature Recognition and Tracing (IKFR-T)
Article Identifiers
Authors
Mohan D N
Keywords
Copy move forged detection (CMFD), Image Forgery, Key feature, Identical Key feature Recognition and Tracing (IKFR-T)
Abstract
The practice of copy-move forgery is prevalent in various industries, where images often serve as crucial graphical evidence that can be manipulated using various methods. While machine intelligence has been employed for detecting forged digital images in recent decades, achieving accurate detection remains a challenging task. This research introduces a novel method, IKFR-T (Identical Key Feature Recognition and Tracing), designed for effective copy-move forgery detection in digital images. The methodology involves three key steps: feature extraction, similarity checking, and recursive localization, each optimized for improved performance. Results and discussions highlight the effectiveness of IKFR-T, demonstrating superior performance compared to existing models. Evaluation metrics, including F1-Score, True Positive Rate (TPR), and False Positive Rate (FPR), emphasize the methodology's reliability in detecting copy-move forgeries. The research employs the GRIP dataset, illustrating its applicability to real-world scenarios and providing insights into potential advancements and challenges in copy-move forgery detection.
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How To Cite (APA)
Mohan D N (May-2024). Efficient Copy-Move Forgery Detection through Identical Key feature Recognition and Tracing (IKFR-T). INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(5), b182-b198. https://ijnrd.org/papers/IJNRD2405129.pdf
Issue
Volume 9 Issue 5, May-2024
Pages : b182-b198
Other Publication Details
Paper Reg. ID: IJNRD_216534
Published Paper Id: IJNRD2405129
Downloads: 000121991
Research Area: Computer Science & TechnologyÂ
Country: Bangalore, Karnataka, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2405129.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2405129
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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition
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