Unified frequency and graph learning framework for accurate and robust copy‐move image forgery detection

Journal of Forensic Sciences · Published 2026-07-26 · DOI 10.1111/1556-4029.70405

Free full text

Authors (2)

Shaheena Kizhakke Veetil, Dhanalakshmi Selvarajan

Abstract

PubPorta does not have an abstract for this article yet.

Read the article at the publisher →

Publication details

Year

2026

Citation

Veetil, S., Selvarajan, D. (2026). Unified frequency and graph learning framework for accurate and robust copy‐move image forgery detection. Journal of Forensic Sciences. https://doi.org/10.1111/1556-4029.70405

Related articles

• Fatal splenic artery aneurysm rupture at medicolegal autopsy: A case series and review of the literature · Journal of Forensic Sciences · 2026 · Same journal
• Forensic timeline investigation of Apple Health app on iOS · Journal of Forensic Sciences · 2026 · Same journal
• From 15,000 to near zero: Cuyahoga County's eight‐year effort to address lawfully “owed” DNA · Journal of Forensic Sciences · 2026 · Same journal
• Determining the utility of radio frequency identification ( RFID ) technology for disaster victim identification ( DVI ) · Journal of Forensic Sciences · 2026 · Same journal
• Preserving evidence integrity in full file system extractions: Assessing hash inconsistencies and potential solutions · Journal of Forensic Sciences · 2026 · Same journal
• Quantitative study on the discriminative value of fingerprint minutiae · Journal of Forensic Sciences · 2026 · Same journal
• 3D printed object topography analysis and the viability for forensic examination · Journal of Forensic Sciences · 2026 · Same journal
• Evaluation of illicit drug contaminants in seized cannabis in Arizona and California, 2023–2024 · Journal of Forensic Sciences · 2026 · Same journal
• Not a firearm: A case report of a fatal penetrating pseudo‐ballistic neck injury from defective airbag deployment · Journal of Forensic Sciences · 2026 · Same journal
• Forensic psychiatric evaluation of legal capacity in older adults: Clinical and cognitive correlates · Journal of Forensic Sciences · 2026 · Same journal