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 |
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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 | |
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 |
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Other
Other | 2017 IEEE International Conference on Consumer Electronics, ICCE 2017 |
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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