View : 23 Download: 3

Joint Banknote Recognition and Counterfeit Detection Using Explainable Artificial Intelligence

Title
Joint Banknote Recognition and Counterfeit Detection Using Explainable Artificial Intelligence
Authors
Han, MiseonKim, Jeongtae
Ewha Authors
김정태
SCOPUS Author ID
김정태scopus
Issue Date
2019
Journal Title
SENSORS
ISSN
1424-8220JCR Link
Citation
SENSORS vol. 19, no. 16
Keywords
banknote recognitioncounterfeit banknote detectionexplainable artificial intelligencejoint banknote recognitioncounterfeit detection system
Publisher
MDPI
Indexed
SCIE; SCOPUS WOS scopus
Document Type
Article
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.
DOI
10.3390/s19163607
Appears in Collections:
엘텍공과대학 > 전자공학과 > Journal papers
Files in This Item:
Joint Banknote Recognition.pdf(11.47 MB) Download
Export
RIS (EndNote)
XLS (Excel)
XML


qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE