Mobile authentication of copy detection patterns: how critical is to know fakes?
Olga Taran, Joakim Tutt, Taras Holotyak, Roman Chaban, Slavi Bonev and, Slava Voloshynovskiy

TL;DR
This paper investigates the effectiveness of mobile-based authentication of copy detection patterns (CDP) against various fake types, demonstrating that modern machine learning and mobile technology enable reliable verification even with unknown counterfeits.
Contribution
It provides an empirical study on CDP authentication in real-world conditions, analyzing the impact of fake types and training scenarios on authentication accuracy.
Findings
Machine learning enables effective authentication against unknown fakes.
Mobile phone imaging is sufficient for reliable CDP verification.
Authentication performance varies with fake type and training approach.
Abstract
Protection of physical objects against counterfeiting is an important task for the modern economies. In recent years, the high-quality counterfeits appear to be closer to originals thanks to the rapid advancement of digital technologies. To combat these counterfeits, an anti-counterfeiting technology based on hand-crafted randomness implemented in a form of copy detection patterns (CDP) is proposed enabling a link between the physical and digital worlds and being used in various brand protection applications. The modern mobile phone technologies make the verification process of CDP easier and available to the end customers. Besides a big interest and attractiveness, the CDP authentication based on the mobile phone imaging remains insufficiently studied. In this respect, in this paper we aim at investigating the CDP authentication under the real-life conditions with the codes printed on…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Code & Models
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsDigital Media Forensic Detection · Face recognition and analysis · User Authentication and Security Systems
