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Proceedings Paper

Plain medicine tablet identification using geometric invariant image matching
Author(s): Rui Ishiyama; Toru Takahashi; Kengo Makino; Yuta Kudo
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Paper Abstract

The growing availability of counterfeit drugs has greatly increased the need for track and trace of drugs through the supply chain. Although numerous methods such as tagging, labelling, and marking are available for identifying and authenticating drug packages, none are available for the contents. A method is presented for directly identifying individual medicine tablets without any markings or additives. A lighting system is used to capture an image of a tablet’s micro-scale surface bumps, which is then used as the "fingerprint" of that tablet. Since plain unmarked tablets have no macroscopic (humanvisible) feature, the orientation of the fingerprint image cannot be controlled during capture. Tablets are thus identified by geometric invariant image matching using Fourier-Mellin phase features. Experimental results show that the proposed image matching algorithm enables accurate and robust identification of numerous plain tablets.

Paper Details

Date Published: 16 October 2019
PDF: 7 pages
Proc. SPIE 11205, Seventh International Conference on Optical and Photonic Engineering (icOPEN 2019), 112052I (16 October 2019); doi: 10.1117/12.2542254
Show Author Affiliations
Rui Ishiyama, NEC Corp. (Japan)
Toru Takahashi, NEC Corp. (Japan)
Kengo Makino, NEC Corp. (Japan)
Yuta Kudo, NEC Corp. (Japan)


Published in SPIE Proceedings Vol. 11205:
Seventh International Conference on Optical and Photonic Engineering (icOPEN 2019)
Anand Asundi; Motoharu Fujigaki; Huimin Xie; Qican Zhang; Song Zhang; Jianguo Zhu; Qian Kemao, Editor(s)

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