Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 김정태 | * |
dc.date.accessioned | 2019-10-02T02:00:06Z | - |
dc.date.available | 2019-10-02T02:00:06Z | - |
dc.date.issued | 2019 | * |
dc.identifier.issn | 1424-8220 | * |
dc.identifier.other | OAK-25385 | * |
dc.identifier.uri | https://dspace.ewha.ac.kr/handle/2015.oak/251519 | - |
dc.description.abstract | We investigated machine learning-based joint banknote recognition and counterfeit detection method. Unlike existing methods, since the proposed method simultaneously recognize banknote type and detect counterfeit detection, it is significantly faster than existing serial banknote recognition and counterfeit detection methods. Furthermore, we propose an explainable artificial intelligence method for visualizing regions that contributed to the recognition and detection. Using the visualization, it is possible to understand the behavior of the trained machine learning system. In experiments using the United State Dollar and the European Union Euro banknotes, the proposed method shows significant improvement in computation time from conventional serial method. | * |
dc.language | English | * |
dc.publisher | MDPI | * |
dc.subject | banknote recognition | * |
dc.subject | counterfeit banknote detection | * |
dc.subject | explainable artificial intelligence | * |
dc.subject | joint banknote recognition | * |
dc.subject | counterfeit detection system | * |
dc.title | Joint Banknote Recognition and Counterfeit Detection Using Explainable Artificial Intelligence | * |
dc.type | Article | * |
dc.relation.issue | 16 | * |
dc.relation.volume | 19 | * |
dc.relation.index | SCIE | * |
dc.relation.index | SCOPUS | * |
dc.relation.journaltitle | SENSORS | * |
dc.identifier.doi | 10.3390/s19163607 | * |
dc.identifier.wosid | WOS:000484407200163 | * |
dc.identifier.scopusid | 2-s2.0-85071756710 | * |
dc.author.google | Han, Miseon | * |
dc.author.google | Kim, Jeongtae | * |
dc.contributor.scopusid | 김정태(55720002700;35484385500) | * |
dc.date.modifydate | 20240322125435 | * |