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Paper currency defect detection algorithm using quaternion uniform strength
- Source :
- Neural Computing and Applications. 32:12999-13016
- Publication Year :
- 2020
- Publisher :
- Springer Science and Business Media LLC, 2020.
-
Abstract
- In this paper, we propose a novel paper currency defect detection algorithm using quaternion uniform strength. We first build paper currency image preprocessing integration framework which includes intensity balancing, paper currency location, and geometric correction. We then propose a global–local paper currency image registration algorithm by moving key areas within certain range which can eliminate the false difference effectively. Finally, the quaternion uniform strength is calculated by using quaternion convolution edge detector. The defect degree of paper currency is determined by using the quaternion uniform color difference. The proposed algorithm is tested using different datasets from five countries: CNY, USD, EUR, VND, and RUB. The experimental results demonstrate that the proposed algorithm yields better results than the existing state-of-the-art paper currency defect detection techniques. The demo of the proposed paper currency defect detection algorithm will be publicly available.
- Subjects :
- 0209 industrial biotechnology
Color difference
Computer science
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
02 engineering and technology
Image (mathematics)
Convolution
020901 industrial engineering & automation
Artificial Intelligence
Currency
0202 electrical engineering, electronic engineering, information engineering
Key (cryptography)
Range (statistics)
020201 artificial intelligence & image processing
Quaternion
Algorithm
Software
Subjects
Details
- ISSN :
- 14333058 and 09410643
- Volume :
- 32
- Database :
- OpenAIRE
- Journal :
- Neural Computing and Applications
- Accession number :
- edsair.doi...........fd40ebdc90c647aa7ec4bf964f6f67db