In this paper, we propose an automatic banknote stain detection method based on brightness ratio analysis. The method uses median filtering, edge detection and connected component analysis. A median filter was used to eliminate small differences such as serial numbers. The brightness difference between a reference banknote and a target banknote was normalized by using the average brightness and the maximum brightness ratio. Sobel edge detection was used to remove differences created by slight mismatches in the edge areas. After applying a thresholding operation to the difference image, connected component analysis was used to remove spurious stain areas.
|Journal||IS and T International Symposium on Electronic Imaging Science and Technology|
|Publication status||Published - 2018|
|Event||16th Image Processing: Algorithms and Systems Symposium 2018 - Burlingame, United States|
Duration: 2018 Jan 28 → 2018 Feb 1
Bibliographical notePublisher Copyright:
© 2018 Society for Imaging Science and Technology.
All Science Journal Classification (ASJC) codes
- Computer Graphics and Computer-Aided Design
- Computer Science Applications
- Human-Computer Interaction
- Electrical and Electronic Engineering
- Atomic and Molecular Physics, and Optics