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Clonability of anti-counterfeiting printable graphical codes: a machine learning approach

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Paper Details

Authors:
Olga Taran, Slavi Bonev, Slava Voloshynovskiy
Submitted On:
10 May 2019 - 11:13am
Short Link:
Type:
Presentation Slides
Event:
Presenter's Name:
Olga Taran
Paper Code:
ICASSP19005
Document Year:
2019
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[1] Olga Taran, Slavi Bonev, Slava Voloshynovskiy, "Clonability of anti-counterfeiting printable graphical codes: a machine learning approach", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4359. Accessed: Aug. 25, 2019.
@article{4359-19,
url = {http://sigport.org/4359},
author = {Olga Taran; Slavi Bonev; Slava Voloshynovskiy },
publisher = {IEEE SigPort},
title = {Clonability of anti-counterfeiting printable graphical codes: a machine learning approach},
year = {2019} }
TY - EJOUR
T1 - Clonability of anti-counterfeiting printable graphical codes: a machine learning approach
AU - Olga Taran; Slavi Bonev; Slava Voloshynovskiy
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4359
ER -
Olga Taran, Slavi Bonev, Slava Voloshynovskiy. (2019). Clonability of anti-counterfeiting printable graphical codes: a machine learning approach. IEEE SigPort. http://sigport.org/4359
Olga Taran, Slavi Bonev, Slava Voloshynovskiy, 2019. Clonability of anti-counterfeiting printable graphical codes: a machine learning approach. Available at: http://sigport.org/4359.
Olga Taran, Slavi Bonev, Slava Voloshynovskiy. (2019). "Clonability of anti-counterfeiting printable graphical codes: a machine learning approach." Web.
1. Olga Taran, Slavi Bonev, Slava Voloshynovskiy. Clonability of anti-counterfeiting printable graphical codes: a machine learning approach [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4359