Enabling Paper-Based Surface Authentication via Digital Twin and Experimental Verification

被引:0
作者
Datta, Prasun [1 ]
Wong, Chau-Wai [1 ]
Wu, Min [2 ]
机构
[1] NC State Univ, Raleigh, NC 27695 USA
[2] Univ Maryland, College Pk, MD USA
来源
2024 IEEE 7TH INTERNATIONAL CONFERENCE ON MULTIMEDIA INFORMATION PROCESSING AND RETRIEVAL, MIPR 2024 | 2024年
基金
美国国家科学基金会;
关键词
Digital twin; camera flash; light reflection model; normal vector; authentication; anticounterfeiting; physically unclonable function (PUF);
D O I
10.1109/MIPR62202.2024.00074
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Paper surfaces can be used for anticounterfeiting due to their inherent and physically unclonable irregularities. Prior work used mobile cameras to capture paper's microstructure with the help of camera flash. However, prolonged exposure to flash in the workplace may harm the eyes of workers involved in the authentication process. This work proposes an authentication method that exploits indoor lighting without the need for a camera flash. Indoor lighting has a lower strength and leads to interference due to secondary reflections, making it challenging to achieve a good authentication performance. To this end, we create a digital twin (DT) replication of a real world in which paper patches are captured under multiple lights, taking account of key physics and optical laws. From simulations of DT, we identify important factors to the authentication performance and design an authentication method for an office setup. We have experimented with three different types of paper and showed that the DT-guided authentication method can achieve satisfactory authentication performance without using active light sources.
引用
收藏
页码:430 / 438
页数:9
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