Recognizing Banknote Fitness with a Visible Light One Dimensional Line Image Sensor
AbstractIn general, dirty banknotes that have creases or soiled surfaces should be replaced by new banknotes, whereas clean banknotes should be recirculated. Therefore, the accurate classification of banknote fitness when sorting paper currency is an important and challenging task. Most previous research has focused on sensors that used visible, infrared, and ultraviolet light. Furthermore, there was little previous research on the fitness classification for Indian paper currency. Therefore, we propose a new method for classifying the fitness of Indian banknotes, with a one-dimensional line image sensor that uses only visible light. The fitness of banknotes is usually determined by various factors such as soiling, creases, and tears, etc. although we just consider banknote soiling in our research. This research is novel in the following four ways: first, there has been little research conducted on fitness classification for the Indian Rupee using visible-light images. Second, the classification is conducted based on the features extracted from the regions of interest (ROIs), which contain little texture. Third, 1-level discrete wavelet transformation (DWT) is used to extract the features for discriminating between fit and unfit banknotes. Fourth, the optimal DWT features that represent the fitness and unfitness of banknotes are selected based on linear regression analysis with ground-truth data measured by densitometer. In addition, the selected features are used as the inputs to a support vector machine (SVM) for the final classification of banknote fitness. Experimental results showed that our method outperforms other methods. View Full-Text
Scifeed alert for new publicationsNever miss any articles matching your research from any publisher
- Get alerts for new papers matching your research
- Find out the new papers from selected authors
- Updated daily for 49'000+ journals and 6000+ publishers
- Define your Scifeed now
Pham, T.D.; Park, Y.H.; Kwon, S.Y.; Nguyen, D.T.; Vokhidov, H.; Park, K.R.; Jeong, D.S.; Yoon, S. Recognizing Banknote Fitness with a Visible Light One Dimensional Line Image Sensor. Sensors 2015, 15, 21016-21032.
Pham TD, Park YH, Kwon SY, Nguyen DT, Vokhidov H, Park KR, Jeong DS, Yoon S. Recognizing Banknote Fitness with a Visible Light One Dimensional Line Image Sensor. Sensors. 2015; 15(9):21016-21032.Chicago/Turabian Style
Pham, Tuyen D.; Park, Young H.; Kwon, Seung Y.; Nguyen, Dat T.; Vokhidov, Husan; Park, Kang R.; Jeong, Dae S.; Yoon, Sungsoo. 2015. "Recognizing Banknote Fitness with a Visible Light One Dimensional Line Image Sensor." Sensors 15, no. 9: 21016-21032.