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Impact Factor (2025): 6.9
DOI Prefix: 10.47001/IRJIET
Impact Factor (2025): 6.9
DOI Prefix: 10.47001/IRJIET
Vol 10 No 5 (2026): Volume 10, Issue 5, May 2026 | Pages: 235-240
International Research Journal of Innovations in Engineering and Technology
OPEN ACCESS | Research Article | Published Date: 13-05-2026
The Unique Logo Authentication System is a web-based application that detects whether a logo is genuine or fake. It uses image preprocessing techniques and a Convolutional Neural Network (CNN) model to analyze logo features. The system is developed using Python and Django for efficient backend processing and user interaction. It provides quick and reliable results, helping protect brand identity and prevent logo duplication.
Unique Logo, Logo Authentication System, CNN, Logo Verification.
Sakshi Shashikant Patil, Janavi Pramod Shinde, Shreya Sampat Patil, Pallavi Rajanikant Patel, & Rijavan A. Shaikh. (2026). Deep Learning-Based Logo Authentication Using EfficientNet for Fake Logo Detection. International Research Journal of Innovations in Engineering and Technology - IRJIET, 10(5), 235-240. Article DOI https://doi.org/10.47001/IRJIET/2026.105033
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