New approach for detecting counterfeited 2D symbol generated by industrial inkjet printer

Abstract

The distribution of easily imitated counterfeit products, such as food packaging, brand name tags, and pharmaceutical labels, has become a serious economic and safety concern. To address this issue, we propose a system for authenticity judgment of genuine and counterfeit products with high speed and accuracy, focusing on the physically unclonable function of an inkjet-printed code and a locally likely arrangement hashing (LLAH) system that performs high-speed image retrieval. In previous research, system for authenticity judgement has been build using inkjet printer for home use. To improve practicability, we used the dataset printed by an industrial inkjet printer used in the real world and a paper medium used as name tags and pharmaceutical labels. In this study for the practical application of the system, we verified that the proposed system has high discriminability and stability, based on highly accurate results obtained from the dataset assuming industrial use in the real world.