Exploring machine learning approaches for efficient image forgery detection

Abilash Radhakrishnan, Tukaram Namdev Sawant, Cheepurupalli Raghuram, Dani Jermisha Railis, Harjasdeep Singh

Open source

DOI: 10.1111/1556-4029.70069
Published: 2025-05-09
Container: Journal of Forensic Sciences
Publisher: Wiley
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1111/1556-4029.70069,
  title = {Exploring machine learning approaches for efficient image forgery detection},
  author = {Abilash Radhakrishnan and Tukaram Namdev Sawant and Cheepurupalli Raghuram and Dani Jermisha Railis and Harjasdeep Singh},
  year = {2025},
  journal = {Journal of Forensic Sciences},
  doi = {10.1111/1556-4029.70069},
  url = {https://doi.org/10.1111/1556-4029.70069}
}

RIS

TY  - JOUR
TI  - Exploring machine learning approaches for efficient image forgery detection
AU  - Abilash Radhakrishnan
AU  - Tukaram Namdev Sawant
AU  - Cheepurupalli Raghuram
AU  - Dani Jermisha Railis
AU  - Harjasdeep Singh
PY  - 2025
JO  - Journal of Forensic Sciences
DO  - 10.1111/1556-4029.70069
UR  - https://doi.org/10.1111/1556-4029.70069
ER  -

APA

Radhakrishnan, A., Sawant, T. N., Raghuram, C., Railis, D. J., & Singh, H. (2025). Exploring machine learning approaches for efficient image forgery detection. Journal of Forensic Sciences. https://doi.org/10.1111/1556-4029.70069

Source records

crossref · retrieved 2026-09-25T07:20:23.266Z