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

Sanghun Lee; Sangwook Baek; Euisun Choi; Yoonkil Baek; Chul Hee 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, Chul Hee 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

Other

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

All Science Journal Classification (ASJC) codes

Computer Networks and Communications
Electrical and Electronic Engineering
Instrumentation

Access to Document

10.1109/ICCE.2017.7889392

Fingerprint Dive into the research topics of 'Soiled banknote fitness determination based on morphology and Otsu's thresholding'. Together they form a unique fingerprint.

Cite this

Lee, S., Baek, S., Choi, E., Baek, Y., & Lee, C. H. (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] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCE.2017.7889392

Lee, Sanghun ; Baek, Sangwook ; Choi, Euisun ; Baek, Yoonkil ; Lee, Chul Hee. / 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

@inproceedings{b0a9c3723f4644efbc4c75cca9fff105,

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 Lee, {Chul Hee}",

year = "2017",

month = mar,

day = "29",

doi = "10.1109/ICCE.2017.7889392",

language = "English",

pages = "450--451",

editor = "Sanchez, {Daniel Diaz} and Jong-Hyouk Lee and Fernando Pescador",

booktitle = "2017 IEEE International Conference on Consumer Electronics, ICCE 2017",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

address = "United States",

note = "2017 IEEE International Conference on Consumer Electronics, ICCE 2017 ; Conference date: 08-01-2017 Through 10-01-2017",

}

Lee, S, Baek, S, Choi, E, Baek, Y & Lee, CH 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, 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; Baek, Yoonkil; Lee, Chul Hee.

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.

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

TY - GEN

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

AU - Lee, Sanghun

AU - Baek, Sangwook

AU - Choi, Euisun

AU - Baek, Yoonkil

AU - Lee, Chul Hee

PY - 2017/3/29

Y1 - 2017/3/29

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.

UR - http://www.scopus.com/inward/record.url?scp=85018328295&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85018328295&partnerID=8YFLogxK

U2 - 10.1109/ICCE.2017.7889392

DO - 10.1109/ICCE.2017.7889392

M3 - Conference contribution

AN - SCOPUS:85018328295

SP - 450

EP - 451

BT - 2017 IEEE International Conference on Consumer Electronics, ICCE 2017

A2 - Sanchez, Daniel Diaz

A2 - Lee, Jong-Hyouk

A2 - Pescador, Fernando

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2017 IEEE International Conference on Consumer Electronics, ICCE 2017

Y2 - 8 January 2017 through 10 January 2017

ER -