Automatic banknote stain detection

Jiho Yoon, Sangwook Baek, Euisun Choi, Hyunji Jo, Chulhee Lee

Research output: Contribution to journalConference articlepeer-review


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.

Original languageEnglish
Article number307
JournalIS and T International Symposium on Electronic Imaging Science and Technology
Publication statusPublished - 2018
Event16th Image Processing: Algorithms and Systems Symposium 2018 - Burlingame, United States
Duration: 2018 Jan 282018 Feb 1

Bibliographical note

Publisher 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
  • Software
  • Electrical and Electronic Engineering
  • Atomic and Molecular Physics, and Optics


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