Detection of Counterfeit by the Usage of Product Inherent Features

Author:

Blankenburg Matthias,Horn Christian,Krüger Jörg

Publisher

Elsevier BV

Subject

General Medicine

Reference21 articles.

1. European Commission. Report on EU customs enforcement of intellectual property rights, Results at the EU border - 2011. ISBN 978-92-79-25362-1; 2012. pp. 10-19.

2. OECD. The Economic Impact of Counterfeiting and Piracy. Paris: OECD; 2008. www.oecd.org/sti/counterfeiting.

3. Xu Y, Ji H, Fermüller C. Viewpoint Invariant Texture Description Using Fractal Analysis. Int J Comput Vision 2009;83. pp. 85-100.

4. Tuceryan M, Jain AK. Texture Analysis, Handbook of Pattern Recognition & Computer Vision. 2nd ed.: World Scientifc Publishing Co. Ptc. Ltd.; 2001.

5. Varma M, Zisserman A. Classifying images of materials: Achieving view- point and illumination independence. ECCV 2002; Volume 3. pp. 255-271.

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1. Artificial Intelligence and Marketing;Advances in Marketing, Customer Relationship Management, and E-Services;2023-06-30

2. BCPIS: Blockchain-based Counterfeit Product Identification System;Journal of Applied Security Research;2022-07-13

3. APTM: A Model for Pervasive Traceability of Agrochemicals;Applied Sciences;2021-09-02

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