Morphology-Based Banknote Fitness Determination
Replacing unfit banknotes is an integral part of maintaining public confidence in currencies while maximizing banknote lifespan in public payment facilities. This paper presents a banknote fitness determination method which mainly focuses on soil and stain detection using images scanned with contact...
Main Authors: | S. Lee, E. Choi, Y. Baek, C. Lee |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2019-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8721094/ |
Similar Items
-
Automated Lung Segmentation and Image Quality Assessment for Clinical 3-D/4-D-Computed Tomography
by: Jie Wei, et al.
Published: (2014-01-01) -
Mussel Classifier System Based on Morphological Characteristics
by: Pablo A. Coelho-Caro, et al.
Published: (2018-01-01) -
Detecting and counting vehicles using adaptive background subtraction and morphological operators in real time systems
by: Lida Shahmiri, et al.
Published: (2019-11-01) -
Grasping Point Detection of Randomly Placed Fruit Cluster Using Adaptive Morphology Segmentation and Principal Component Classification of Multiple Features
by: Qian Zhang, et al.
Published: (2019-01-01) -
Extended morphological profiles analysis of airborne hyperspectral image classification using machine learning algorithms
by: R. Anand, et al.
Published: (2021-01-01)