Authors:
Kazuaki Sugai
;
Kitahiro Kaneda
and
Keiichi Iwamura
Affiliation:
Tokyo University of Science 6-3-1 Niijuku, Katusika-ku Tokyo, 125-8585, Japan
Keyword(s):
Authenticity Judgment, Inkjet Print, Physically Unclonable Function, Feature Matching, Image Processing.
Abstract:
The distribution of counterfeit products such as food packages, branded product tags, and drug labels, which are easy to imitate, has become a serious economic and safety problem. To address this problem, we propose a method to judge counterfeit products from commonly used inkjet-printed codes. To judge authenticity, copies of printed matter of an inkjet printer are used as they are difficult to duplicate. In this study, we propose a new authenticity judgment system that combines the locally likely arrangement hashing (LLAH) system, which performs high-speed image retrieval, and Accelerated-KAZE (A-KAZE), which matches the features of inkjet-printed matter with high accuracy to verify accuracy.