TY - JOUR
T1 - Joint banknote recognition and counterfeit detection using explainable artificial intelligence
AU - Han, Miseon
AU - Kim, Jeongtae
N1 - Funding Information:
Funding: This research was supported by the Technology development Program (S2467392) funded by the Ministry of SMEs and Startups (MSS, Korea) and by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT & Future Planning (2017R1A2B4004231).
Publisher Copyright:
© 2019 by the authors. Licensee MDPI, Basel, Switzerland.
PY - 2019/8/2
Y1 - 2019/8/2
N2 - 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.
AB - 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.
KW - Banknote recognition
KW - Counterfeit banknote detection
KW - Counterfeit detection system
KW - Explainable artificial intelligence
KW - Joint banknote recognition
UR - http://www.scopus.com/inward/record.url?scp=85071756710&partnerID=8YFLogxK
U2 - 10.3390/s19163607
DO - 10.3390/s19163607
M3 - Article
C2 - 31430971
AN - SCOPUS:85071756710
SN - 1424-8220
VL - 19
JO - Sensors (Switzerland)
JF - Sensors (Switzerland)
IS - 16
M1 - 3607
ER -