Sensors (Basel, Switzerland), 2019-08, Vol.19 (16), p.3607
2019
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Details
- Autor(en) / Beteiligte
- Titel
- Joint Banknote Recognition and Counterfeit Detection Using Explainable Artificial Intelligence
- Ist Teil von
- Sensors (Basel, Switzerland), 2019-08, Vol.19 (16), p.3607
- Ort / Verlag
- Switzerland: MDPI AG
- Erscheinungsjahr
- 2019
- Quelle
- Free E-Journal (出版社公開部分のみ）
- Beschreibungen/Notizen
- 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.
- Sprache
- Englisch
- Identifikatoren
- ISSN: 1424-8220eISSN: 1424-8220DOI: 10.3390/s19163607Titel-ID: cdi_doaj_primary_oai_doaj_org_article_95cbfbd3fdda46eabf3eb6efcca65771
- Format
- –
- Schlagworte
- Artificial intelligence, banknote recognition, Banknotes, Classification, Counterfeit, counterfeit banknote detection, counterfeit detection system, Counterfeiting, Deep learning, explainable artificial intelligence, joint banknote recognition, Machine learning, Neural networks, Real time, Recognition, Wavelet transforms