{"title":"On the feasibility of classification-based product package authentication","authors":"R. Schraml, L. Debiasi, Christof Kauba, A. Uhl","doi":"10.1109/WIFS.2017.8267659","DOIUrl":null,"url":null,"abstract":"Depending on the product category the authenticity of a consumer good concerns economic, social and/or environmental issues. Counterfeited drugs are a threat to patient safety and cause significant economic losses. Different from physical-marking based approaches this work investigates authentication of drugs based on intrinsic texture features of the packaging material. Therefore, it is assumed that the packaging material of a certain drug shows constant but discriminative textural features which enable authentication, i.e. to prove if the packaging material is genuine or not. This objective requires considering a binary classification problem with an open set of negative classes, i.e. unknown and unseen counterfeits. In order to investigate the feasibility a novel drug packaging texture databases was acquired. The experimental evaluation of two basic requirements in texture classification serves as an evidence on the basic feasibility.","PeriodicalId":305837,"journal":{"name":"2017 IEEE Workshop on Information Forensics and Security (WIFS)","volume":"127 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE Workshop on Information Forensics and Security (WIFS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WIFS.2017.8267659","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11
Abstract
Depending on the product category the authenticity of a consumer good concerns economic, social and/or environmental issues. Counterfeited drugs are a threat to patient safety and cause significant economic losses. Different from physical-marking based approaches this work investigates authentication of drugs based on intrinsic texture features of the packaging material. Therefore, it is assumed that the packaging material of a certain drug shows constant but discriminative textural features which enable authentication, i.e. to prove if the packaging material is genuine or not. This objective requires considering a binary classification problem with an open set of negative classes, i.e. unknown and unseen counterfeits. In order to investigate the feasibility a novel drug packaging texture databases was acquired. The experimental evaluation of two basic requirements in texture classification serves as an evidence on the basic feasibility.