About Invention

The present invention relates to a system and method for creating and authenticating a 2D anticounterfeit code is described, which involves generating a secure code by integrating a QR code with unique patterns and optionally including additional marks and ink patterns. The process includes printing the code and authenticating it using deep learning techniques for precise detection and anomaly comparison. Additionally, a computer-implemented method predicts optimal preprocessing parameters for QR code generation by analyzing input factors and utilizing a deep learning model to estimate parameters for diverse printing features. The method also includes restoring a degraded copy detection pattern using a neural network architecture, ensuring the restored image closely matches the original pattern by preserving texture and correcting distortions.