Deep Learning-Based Multinational Banknote Type and Fitness Classification with the Combined Images by Visible-Light Reflection and Infrared-Light Transmission Image Sensors.
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%0 Journal Article
%1 journals/sensors/PhamNPP19
%A Pham, Tuyen Danh
%A Nguyen, Dat Tien
%A Park, Chanhum
%A Park, Kang Ryoung
%D 2019
%J Sensors
%K dblp
%N 4
%P 792
%T Deep Learning-Based Multinational Banknote Type and Fitness Classification with the Combined Images by Visible-Light Reflection and Infrared-Light Transmission Image Sensors.
%U http://dblp.uni-trier.de/db/journals/sensors/sensors19.html#PhamNPP19
%V 19
@article{journals/sensors/PhamNPP19,
added-at = {2019-07-29T00:00:00.000+0200},
author = {Pham, Tuyen Danh and Nguyen, Dat Tien and Park, Chanhum and Park, Kang Ryoung},
biburl = {https://www.bibsonomy.org/bibtex/280c6feeb747de01aa6b6ce72ad90703a/dblp},
ee = {https://www.wikidata.org/entity/Q64258592},
interhash = {c60ebebe0c6e1e73dbd6b75461ec4476},
intrahash = {80c6feeb747de01aa6b6ce72ad90703a},
journal = {Sensors},
keywords = {dblp},
number = 4,
pages = 792,
timestamp = {2019-07-30T11:42:48.000+0200},
title = {Deep Learning-Based Multinational Banknote Type and Fitness Classification with the Combined Images by Visible-Light Reflection and Infrared-Light Transmission Image Sensors.},
url = {http://dblp.uni-trier.de/db/journals/sensors/sensors19.html#PhamNPP19},
volume = 19,
year = 2019
}
