Soiled banknote fitness determination based on morphology and Otsu's thresholding

Sanghun Lee; Sangwook Baek; Euisun Choi; Yoonkil Baek; Chulhee Lee

doi:10.1109/ICCE.2017.7889392

Soiled banknote fitness determination based on morphology and Otsu's thresholding

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

Department of Electrical and Electronic Engineering

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

5 Citations (Scopus)

Abstract

This paper presents a soiled banknote determination method based on morphology and Otsu's thresholding method. Using morphology, a texture image was extracted with selective morphological closing operations, and the soiling level was estimated by averaging the pixel intensities of the texture image. Next, the Otsu threshold was calculated and used to determine whether each pixel was a foreground or background pixel. Then the soiling level was estimated using the difference between the averages of the foreground and background pixels. We used the weighted sum of the two estimated values as a soiling level measure. The proposed method showed good performance on Euro and Russian banknotes.

Original language	English
Title of host publication	2017 IEEE International Conference on Consumer Electronics, ICCE 2017
Editors	Daniel Diaz Sanchez, Jong-Hyouk Lee, Fernando Pescador
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	450-451
Number of pages	2
ISBN (Electronic)	9781509055449
DOIs	https://doi.org/10.1109/ICCE.2017.7889392
Publication status	Published - 2017 Mar 29
Event	2017 IEEE International Conference on Consumer Electronics, ICCE 2017 - Las Vegas, United States Duration: 2017 Jan 8 → 2017 Jan 10

Publication series

Name	2017 IEEE International Conference on Consumer Electronics, ICCE 2017

Other

Other	2017 IEEE International Conference on Consumer Electronics, ICCE 2017
Country/Territory	United States
City	Las Vegas
Period	17/1/8 → 17/1/10

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

All Science Journal Classification (ASJC) codes

Computer Networks and Communications
Electrical and Electronic Engineering
Instrumentation

Access to Document

10.1109/ICCE.2017.7889392

Cite this

Lee, S., Baek, S., Choi, E., Baek, Y., & Lee, C. (2017). Soiled banknote fitness determination based on morphology and Otsu's thresholding. In D. D. Sanchez, J-H. Lee, & F. Pescador (Eds.), 2017 IEEE International Conference on Consumer Electronics, ICCE 2017 (pp. 450-451). [7889392] (2017 IEEE International Conference on Consumer Electronics, ICCE 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCE.2017.7889392

Lee, Sanghun ; Baek, Sangwook ; Choi, Euisun et al. / Soiled banknote fitness determination based on morphology and Otsu's thresholding. 2017 IEEE International Conference on Consumer Electronics, ICCE 2017. editor / Daniel Diaz Sanchez ; Jong-Hyouk Lee ; Fernando Pescador. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 450-451 (2017 IEEE International Conference on Consumer Electronics, ICCE 2017).

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title = "Soiled banknote fitness determination based on morphology and Otsu's thresholding",

abstract = "This paper presents a soiled banknote determination method based on morphology and Otsu's thresholding method. Using morphology, a texture image was extracted with selective morphological closing operations, and the soiling level was estimated by averaging the pixel intensities of the texture image. Next, the Otsu threshold was calculated and used to determine whether each pixel was a foreground or background pixel. Then the soiling level was estimated using the difference between the averages of the foreground and background pixels. We used the weighted sum of the two estimated values as a soiling level measure. The proposed method showed good performance on Euro and Russian banknotes.",

author = "Sanghun Lee and Sangwook Baek and Euisun Choi and Yoonkil Baek and Chulhee Lee",

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Lee, S, Baek, S, Choi, E, Baek, Y & Lee, C 2017, Soiled banknote fitness determination based on morphology and Otsu's thresholding. in DD Sanchez, J-H Lee & F Pescador (eds), 2017 IEEE International Conference on Consumer Electronics, ICCE 2017., 7889392, 2017 IEEE International Conference on Consumer Electronics, ICCE 2017, Institute of Electrical and Electronics Engineers Inc., pp. 450-451, 2017 IEEE International Conference on Consumer Electronics, ICCE 2017, Las Vegas, United States, 17/1/8. https://doi.org/10.1109/ICCE.2017.7889392

Soiled banknote fitness determination based on morphology and Otsu's thresholding. / Lee, Sanghun; Baek, Sangwook; Choi, Euisun et al.

2017 IEEE International Conference on Consumer Electronics, ICCE 2017. ed. / Daniel Diaz Sanchez; Jong-Hyouk Lee; Fernando Pescador. Institute of Electrical and Electronics Engineers Inc., 2017. p. 450-451 7889392 (2017 IEEE International Conference on Consumer Electronics, ICCE 2017).

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

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T1 - Soiled banknote fitness determination based on morphology and Otsu's thresholding

AU - Lee, Sanghun

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N2 - This paper presents a soiled banknote determination method based on morphology and Otsu's thresholding method. Using morphology, a texture image was extracted with selective morphological closing operations, and the soiling level was estimated by averaging the pixel intensities of the texture image. Next, the Otsu threshold was calculated and used to determine whether each pixel was a foreground or background pixel. Then the soiling level was estimated using the difference between the averages of the foreground and background pixels. We used the weighted sum of the two estimated values as a soiling level measure. The proposed method showed good performance on Euro and Russian banknotes.

AB - This paper presents a soiled banknote determination method based on morphology and Otsu's thresholding method. Using morphology, a texture image was extracted with selective morphological closing operations, and the soiling level was estimated by averaging the pixel intensities of the texture image. Next, the Otsu threshold was calculated and used to determine whether each pixel was a foreground or background pixel. Then the soiling level was estimated using the difference between the averages of the foreground and background pixels. We used the weighted sum of the two estimated values as a soiling level measure. The proposed method showed good performance on Euro and Russian banknotes.

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Lee S, Baek S, Choi E, Baek Y, Lee C. Soiled banknote fitness determination based on morphology and Otsu's thresholding. In Sanchez DD, Lee J-H, Pescador F, editors, 2017 IEEE International Conference on Consumer Electronics, ICCE 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 450-451. 7889392. (2017 IEEE International Conference on Consumer Electronics, ICCE 2017). doi: 10.1109/ICCE.2017.7889392

Soiled banknote fitness determination based on morphology and Otsu's thresholding

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