Banknote simulator for aging and soiling banknotes using Gaussian models and Perlin noise

Sangwook Baek, Sanghun Lee, Euison Choi, Yoonkil Baek, Chulhee Lee

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

1 Citation (Scopus)

Abstract

In this paper, we propose a banknote simulator that generates aged and soiled banknotes. By analyzing the characteristics of circulating banknotes, we developed Gaussian brightness models for gray level changes of circulating banknotes. In addition, the Perlin noise model was used to simulate soiling. The proposed algorithm was tested using US Dollars (USD) and the experimental results show that the proposed method effectively simulated soiled banknote images from new banknote images.

Original languageEnglish
Title of host publicationICPRAM 2017 - Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods
EditorsMaria De De Marsico, Gabriella Sanniti di Baja, Ana Fred
PublisherSciTePress
Pages289-292
Number of pages4
ISBN (Electronic)9789897582226
DOIs
Publication statusPublished - 2017 Jan 1
Event6th International Conference on Pattern Recognition Applications and Methods, ICPRAM 2017 - Porto, Portugal
Duration: 2017 Feb 242017 Feb 26

Publication series

NameICPRAM 2017 - Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods
Volume2017-January

Other

Other6th International Conference on Pattern Recognition Applications and Methods, ICPRAM 2017
CountryPortugal
CityPorto
Period17/2/2417/2/26

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition

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  • Cite this

    Baek, S., Lee, S., Choi, E., Baek, Y., & Lee, C. (2017). Banknote simulator for aging and soiling banknotes using Gaussian models and Perlin noise. In M. D. De Marsico, G. S. di Baja, & A. Fred (Eds.), ICPRAM 2017 - Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods (pp. 289-292). (ICPRAM 2017 - Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods; Vol. 2017-January). SciTePress. https://doi.org/10.5220/0006112402890292