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.
|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.|
|Number of pages||2|
|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
|Name||2017 IEEE International Conference on Consumer Electronics, ICCE 2017|
|Other||2017 IEEE International Conference on Consumer Electronics, ICCE 2017|
|Period||17/1/8 → 17/1/10|
Bibliographical notePublisher Copyright:
© 2017 IEEE.
All Science Journal Classification (ASJC) codes
- Computer Networks and Communications
- Electrical and Electronic Engineering