Preventing Wine Counterfeiting by Individual Cork Stopper Recognition Using Image Processing Technologies

Journal of Imaging

Armando Sousa¹  Ana Reis²  Valter Costa² 

[1] FEUP—Faculty of Engineering of the University of Porto, Porto 4200-465, Portugal;INEGI—Institute of Science and Innovation in Mechanical and Industrial Engineering, Porto 4200-465, Portugal;

关键词: wine counterfeiting;    anti-counterfeiting systems;    image processing;    ORB;    validation gate;    RIOTA;    object fingerprint;   

DOI  :  10.3390/jimaging4040054

来源: DOAJ

【 摘 要 】

Wine counterfeiting is a major problem worldwide. Within this context, an approach to the problem of discerning original wine bottles from forged ones is the use of natural features present in the product, object and/or material (using it “as is”). The proposed application uses the cork stopper as a unique fingerprint, combined with state of the art image processing techniques to achieve individual object recognition and smartphones as the authentication equipment. The anti-counterfeiting scheme is divided into two phases: an enrollment phase, where every bottle is registered in a database using a photo of its cork stopper inside the bottle; and a verification phase, where an end-user/retailer captures a photo of the cork stopper using a regular smartphone, compares the photo with the previously-stored one and retrieves it if the wine bottle was previously registered. To evaluate the performance of the proposed application, two datasets of natural/agglomerate cork stoppers were built, totaling 1000 photos. The worst case results show a 100% precision ratio, an accuracy of 99.94% and a recall of 94.00%, using different smartphones. The perfect score in precision is a promising result, proving that this system can be applied to the prevention of wine counterfeiting and consumer/retailer security when purchasing a wine bottle.

【 授权许可】

Unknown