1. Paper currency defect detection algorithm using quaternion uniform strength
- Author
-
Bangshu Xiong, Xiaolin Xu, and Shan Gai
- 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 - 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.
- Published
- 2020