DIGITAL FORGERY DETECTOR FOR CERTIFICATE AND DOCUMENTS

Project Algorithm :

Image Processing

Project Overview :

With increasing cases of certificate and document forgery, there is a growing need for an automated and intelligent system to detect manipulated documents. This project proposes a system that leverages image processing, OCR (Optical Character Recognition), and AI-based tamper detection techniques to verify the authenticity of scanned certificates or digital documents. The system detects forgery by identifying anomalies such as inconsistent fonts, altered signatures, tampered seals/logos, or pixel-level discrepancies. It flags forged areas and generates a verification report. This system ensures the integrity of documents submitted in academic, corporate, and legal domains.

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