Enhancing copyright Detection with Multi-Features on Secure 2D Grayscale Codes

Enhancing copyright Detection with Multi-Features on Secure 2D Grayscale Codes

Blog Article

copyright products have become a pervasive problem in the global marketplace, necessitating effective strategies to protect both consumers and brands.This study examines the role of cybersecurity in addressing counterfeiting issues, specifically focusing on a Line Filter multi-level grayscale watermark-based authentication system.The system comprises a generator responsible for creating a secure 2D code, and an authenticator designed to extract watermark information and verify product authenticity.

To authenticate the secure 2D code, we propose various features, including the analysis of the spatial domain, frequency domain, and grayscale watermark distribution.Furthermore, we emphasize the importance of selecting appropriate interpolation methods to enhance copyright detection.Our proposed approach demonstrates remarkable performance, achieving precision, recall, and specificities surpassing 84.

8%, 83.33%, and Entry Door Levers 84.5%, respectively, across different datasets.