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ZENODO
Article . 2023
License: CC BY NC
Data sources: ZENODO
ZENODO
Article . 2023
License: CC BY NC
Data sources: Datacite
ZENODO
Article . 2023
License: CC BY NC
Data sources: Datacite
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Identification of A Fake Medicine Packaging Print From its Dot Sizes and Shape

Authors: Indrama Das; Swati Bandyopadhyay; Alain Tremeau;

Identification of A Fake Medicine Packaging Print From its Dot Sizes and Shape

Abstract

The pharmaceutical industries face great challenge for wide marketing of fake medicine. It is a huge threat to society also because of the critical health hazards due to the fake medicines. The easiest way to market the fake medicine is to copy and print the original medicine package by the counterfeiters. Hence in this study, it has been discussed how the dot sizes and shapes of color image prints can be used to identify the authenticity of the original package printed by the manufacturers or their authorized printers. The goal of this study is to authenticate the pharmaceutical package print from microscopic analysis of printed foil. The blister foil is chosen as the substrate because it has extensive usage in pharmaceutical packaging industry. Studies of the dot shapes at the microscopic scale may be taken as an intrinsic signature of printer. This work has been focused to differentiate between the original print and its scanned and reprinted (mentioned as reprint) samples, which simulates the standard practice of copying and reprinting by the counterfeiters. The differentiation is done on the basis of different parameters such as dot area, major and minor axis of dots, eccentricity of the observed dots. First a reference color chart IT 8.7/3 has been printed by three different gravure printers (P1, P2, P3). Then the images of the print samples (P1, P2, P3) are captured using calibrated camera and are printed again in those three printers, which are referred to as reprint (R1, R2, R3). The samples printed in the gravure process are analyzed using the Lays & Mayo microscope with 4x zoom and ScopeImage 9.0 microscope software. The parameters like dot area, major axis, minor axis and eccentricity of cyan, magenta and yellow (20 %, 40%, 50%) tint for print and reprint samples are taken by using MATLAB R2018a. For the detection purpose the canny edge detection algorithm has been applied on the microscopic images. Then the boundaries of the objects are being calculated by detecting the contours of the detected edge dots in the samples. From the results, it has been observed that the dot shape parameters (Dot area, Major and Minor axis, Eccentricity) may be used to distinguish the print sample from reprint sample.

Related Organizations
Keywords

dot area; major axis; minor axis; eccentricity., Medicine package printing; Anticounterfeiting

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average