High-speed authenticity judgment algorithm using a smartphone with an inkjet printed code

Abstract

In today's modern society, where goods are actively bought and sold between individuals, the distribution of counterfeit products such as food packages, branded product tags, and drug labels, which are easy to imitate, has become a serious social problem. In order to solve the above problem, we propose a method to judge counterfeit products from commonly used inkjet printied codes. For authenticity judgment, it is difficult to physically copy individual physical copies of printed matter of an inkjet printer (PUF property) is used. In this paper, we propose an authenticity judgment system that combines the LLAH system, which performs high-speed image search as a new method, and A-KAZE, which matches the feature amount of inkjet printed matter with high accuracy, and verifies the accuracy