Automatic banknote stain detection

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

doi:10.2352/ISSN.2470-1173.2018.13.IPAS-307

Automatic banknote stain detection

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

Department of Electrical and Electronic Engineering

Research output: Contribution to journal › Conference article

Abstract

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 language	English
Article number	307
Journal	IS and T International Symposium on Electronic Imaging Science and Technology
DOIs	https://doi.org/10.2352/ISSN.2470-1173.2018.13.IPAS-307
Publication status	Published - 2018 Jan 1
Event	16th Image Processing: Algorithms and Systems Symposium 2018 - Burlingame, United States Duration: 2018 Jan 28 → 2018 Feb 1

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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

Cite this

Yoon, J., Baek, S., Choi, E., Jo, H., & Lee, C. (2018). Automatic banknote stain detection. IS and T International Symposium on Electronic Imaging Science and Technology, [307]. https://doi.org/10.2352/ISSN.2470-1173.2018.13.IPAS-307

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Access to Document

10.2352/ISSN.2470-1173.2018.13.IPAS-307