Printed Packaging Authentication: Similarity Metric Learning for Rotogravure Manufacture Process Identification

Tetiana Yemelianenko, Alain Trémeau, Iuliia Tkachenko

2023

Abstract

The number of medicine counterfeits increases each year due to the accessibility of printing devices and the weak protection of medicine blister foils. The medicine blisters are often produced using the rotogravure printing process. In this paper, we address the problem of rotogravure press identification and printed support identification using similarity metric learning. Both identification problems are difficult as the impact of printing press or of printing support are minimal, moreover the classical techniques (for example, the use of Pearson correlation) cannot identify the rotogravure press or the printing support used for the packaging production. We show that the similarity metric learning can easily identify the press used and the printing support used. Additionally, we explore the possibility to use the proposed approach for packaging authentication.

Paper Citation

in Harvard Style

Yemelianenko T., Trémeau A. and Tkachenko I. (2023). Printed Packaging Authentication: Similarity Metric Learning for Rotogravure Manufacture Process Identification. In Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 4: VISAPP; ISBN 978-989-758-634-7, SciTePress, pages 905-911. DOI: 10.5220/0011728700003417

in Bibtex Style

@conference{visapp23,
author={Tetiana Yemelianenko and Alain Trémeau and Iuliia Tkachenko},
title={Printed Packaging Authentication: Similarity Metric Learning for Rotogravure Manufacture Process Identification},
booktitle={Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 4: VISAPP},
year={2023},
pages={905-911},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011728700003417},
isbn={978-989-758-634-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 4: VISAPP
TI - Printed Packaging Authentication: Similarity Metric Learning for Rotogravure Manufacture Process Identification
SN - 978-989-758-634-7
AU - Yemelianenko T.
AU - Trémeau A.
AU - Tkachenko I.
PY - 2023
SP - 905
EP - 911
DO - 10.5220/0011728700003417
PB - SciTePress