• Shivam Jayantilal Trivedi
• Krishnaja s.

Document forgery has become a serious concern in sectors like education, banking, and government, where falsified certificates and identity proofs are often used for fraud. Manual verification methods are slow and unreliable, especially against modern digital forgery techniques. To address this challenge, automated approaches using Machine Learning (ML) and Deep Learning (DL) are gaining importance.

Document forgery detection, machine learning, image forensics, deep learning, tampering localization, digital authentication, anomaly detection, cybercrime prevention, digital trust.

"Document Forgery Detection", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 10, page no.a129-a132, October-2025, Available :http://www.jetir.org/papers/JETIR2510014.pdf

"Document Forgery Detection", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 10, page no. ppa129-a132, October-2025, Available at : http://www.jetir.org/papers/JETIR2510014.pdf