Efficient Copy-Move Forgery Detection through Identical Key feature Recognition and Tracing (IKFR-T)

Efficient Copy-Move Forgery Detection through Identical Key feature Recognition and Tracing (IKFR-T)

Registration ID: IJNRD_216534

Published ID: IJNRD2405129

DOI: Click Here to Get

Mohan D N

Copy move forged detection (CMFD), Image Forgery, Key feature, Identical Key feature Recognition and Tracing (IKFR-T)

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.

Published Paper   E-Certificate

"Efficient Copy-Move Forgery Detection through Identical Key feature Recognition and Tracing (IKFR-T)", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 5, page no.b182-b198, May-2024, Available :https://ijnrd.org/papers/IJNRD2405129.pdf

Volume 9 Issue 5, May-2024

Pages : b182-b198

Paper Reg. ID: IJNRD_216534

Published Paper Id: IJNRD2405129

Downloads: 000121153

Research Area: Computer Science & Technology 

Country: Bangalore, Karnataka, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2405129.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2405129

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

Call For Paper - Volume 10 | Issue 8 | August 2025

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