Fake banknote detection using multispectral images

K. Kang, C. Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 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 languageEnglish
Title of host publicationIISA 2016 - 7th International Conference on Information, Intelligence, Systems and Applications
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509034291
DOIs
Publication statusPublished - 2016 Dec 14
Event7th International Conference on Information, Intelligence, Systems and Applications, IISA 2016 - Chalkidiki, Greece
Duration: 2016 Jul 132016 Jul 15

Publication series

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

Other

Other7th International Conference on Information, Intelligence, Systems and Applications, IISA 2016
CountryGreece
CityChalkidiki
Period16/7/1316/7/15

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All Science Journal Classification (ASJC) codes

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

Cite this

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