mlsanityData to 13 Oct 2026

Printing variability of copy detection patterns

arXiv 2210.05343 ↗First posted 11 Oct 2022cs.CR cs.CVcited by 3

Not on the map. Why?

Abstract (arXiv)

Copy detection pattern (CDP) is a novel solution for products' protection against counterfeiting, which gains its popularity in recent years. CDP attracts the anti-counterfeiting industry due to its numerous benefits in comparison to alternative protection techniques. Besides its attractiveness, there is an essential gap in the fundamental analysis of CDP authentication performance in large-scale industrial applications. It concerns variability of CDP parameters under different production conditions that include a type of printer, substrate, printing resolution, etc. Since digital off-set printing represents great flexibility in terms of product personalized in comparison with traditional off-set printing, it looks very interesting to address the above concerns for digital off-set printers that are used by several companies for the CDP protection of physical objects. In this paper, we thoroughly investigate certain factors impacting CDP. The experimental results obtained during our study reveal some previously unknown results and raise new and even more challenging questions. The results prove that it is a matter of great importance to choose carefully the substrate or printer for CDP production. This paper presents a new dataset produced by two industrial HP Indigo printers. The similarity between printed CDP and the digital templates, from which they have been produced, is chosen as a simple measure in our study. We found several particularities that might be of interest for large-scale industrial applications.

Key facts. Cited by 3 papers in the map (data through 13 Oct 2026). Builds on 2 of its 12 references that are in the map. First posted on arXiv 11 Oct 2022.

Builds on

2 of 12 references.

References · 2

  1. 2019Clonability of anti-counterfeiting printable graphical codes: a machine learning approachcited by 7
  2. 2021Machine learning attack on copy detection patterns: are 1x1 patterns cloneable?cited by 6

Built on by

Cited by year (2026 to 13 Oct)

Citing papers per year: 2023: 1; 2024: 1; 2025: 0; 2026: 1.

3 papers.