Printing variability of copy detection patterns

2022 IEEE International Workshop on Information Forensics and Security (WIFS)(2022)

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摘要
Copy detection pattern (CDP) is a novel solution for products’ protection against counterfeiting, which gains its popularity. CDP attracts industries 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 the 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 deviations of printed CDP from their digital templates, from which they have been produced, are chosen as a simple measure of similarity in our study. We found several particularities that might be of interest for large-scale industrial applications.
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关键词
Copy detection patterns,digital offset printing,printing variability,substrate,similarity measure,fakes
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