Fake banknote detection using multispectral images

K. Kang; C. Lee

doi:10.1109/IISA.2016.7785338

Fake banknote detection using multispectral images

K. Kang, C. Lee

Department of Electrical and Electronic Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

10 Citations (Scopus)

Abstract

With advancement of sensor technologies, it is now possible to manufacture cost-effective multispectral sensors for ATM (automatic teller machine). Using multispectral images, one can better cope with counterfeit banknote problems. In this paper, we propose a counterfeit banknote detection using multispectral images in visual and infrared spectrum. In the proposed method, we divided a banknote into a number of blocks and extracted features from the blocks. To reduce processing time for real-time applications, we applied block selection algorithms. Since ATMs have a limited computing power, we used linear and quadratic classifiers. Experimental results show promising results.

Original language	English
Title of host publication	IISA 2016 - 7th International Conference on Information, Intelligence, Systems and Applications
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781509034291
DOIs	https://doi.org/10.1109/IISA.2016.7785338
Publication status	Published - 2016 Dec 14
Event	7th International Conference on Information, Intelligence, Systems and Applications, IISA 2016 - Chalkidiki, Greece Duration: 2016 Jul 13 → 2016 Jul 15

Publication series

Name	IISA 2016 - 7th International Conference on Information, Intelligence, Systems and Applications

Other

Other	7th International Conference on Information, Intelligence, Systems and Applications, IISA 2016
Country	Greece
City	Chalkidiki
Period	16/7/13 → 16/7/15

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

All Science Journal Classification (ASJC) codes

Information Systems
Computer Science Applications
Artificial Intelligence
Social Sciences (miscellaneous)

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10.1109/IISA.2016.7785338

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Kang, K., & Lee, C. (2016). Fake banknote detection using multispectral images. In IISA 2016 - 7th International Conference on Information, Intelligence, Systems and Applications [7785338] (IISA 2016 - 7th International Conference on Information, Intelligence, Systems and Applications). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IISA.2016.7785338

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title = "Fake banknote detection using multispectral images",

abstract = "With advancement of sensor technologies, it is now possible to manufacture cost-effective multispectral sensors for ATM (automatic teller machine). Using multispectral images, one can better cope with counterfeit banknote problems. In this paper, we propose a counterfeit banknote detection using multispectral images in visual and infrared spectrum. In the proposed method, we divided a banknote into a number of blocks and extracted features from the blocks. To reduce processing time for real-time applications, we applied block selection algorithms. Since ATMs have a limited computing power, we used linear and quadratic classifiers. Experimental results show promising results.",

author = "K. Kang and C. Lee",

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year = "2016",

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doi = "10.1109/IISA.2016.7785338",

language = "English",

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Kang, K & Lee, C 2016, Fake banknote detection using multispectral images. in IISA 2016 - 7th International Conference on Information, Intelligence, Systems and Applications., 7785338, IISA 2016 - 7th International Conference on Information, Intelligence, Systems and Applications, Institute of Electrical and Electronics Engineers Inc., 7th International Conference on Information, Intelligence, Systems and Applications, IISA 2016, Chalkidiki, Greece, 16/7/13. https://doi.org/10.1109/IISA.2016.7785338

Fake banknote detection using multispectral images. / Kang, K.; Lee, C.

IISA 2016 - 7th International Conference on Information, Intelligence, Systems and Applications. Institute of Electrical and Electronics Engineers Inc., 2016. 7785338 (IISA 2016 - 7th International Conference on Information, Intelligence, Systems and Applications).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AU - Lee, C.

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N2 - With advancement of sensor technologies, it is now possible to manufacture cost-effective multispectral sensors for ATM (automatic teller machine). Using multispectral images, one can better cope with counterfeit banknote problems. In this paper, we propose a counterfeit banknote detection using multispectral images in visual and infrared spectrum. In the proposed method, we divided a banknote into a number of blocks and extracted features from the blocks. To reduce processing time for real-time applications, we applied block selection algorithms. Since ATMs have a limited computing power, we used linear and quadratic classifiers. Experimental results show promising results.

AB - With advancement of sensor technologies, it is now possible to manufacture cost-effective multispectral sensors for ATM (automatic teller machine). Using multispectral images, one can better cope with counterfeit banknote problems. In this paper, we propose a counterfeit banknote detection using multispectral images in visual and infrared spectrum. In the proposed method, we divided a banknote into a number of blocks and extracted features from the blocks. To reduce processing time for real-time applications, we applied block selection algorithms. Since ATMs have a limited computing power, we used linear and quadratic classifiers. Experimental results show promising results.

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M3 - Conference contribution

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T3 - IISA 2016 - 7th International Conference on Information, Intelligence, Systems and Applications

BT - IISA 2016 - 7th International Conference on Information, Intelligence, Systems and Applications

PB - Institute of Electrical and Electronics Engineers Inc.

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Kang K, Lee C. Fake banknote detection using multispectral images. In IISA 2016 - 7th International Conference on Information, Intelligence, Systems and Applications. Institute of Electrical and Electronics Engineers Inc. 2016. 7785338. (IISA 2016 - 7th International Conference on Information, Intelligence, Systems and Applications). https://doi.org/10.1109/IISA.2016.7785338

Fake banknote detection using multispectral images

Abstract

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