Detecting and measuring rings in banknote images

Authors:
A. Verikas;K. Malmqvist;L. Bergman
Affiliations:
Intelligent Systems Laboratory, Halmstad University, Box 823, Kristian IVs vag 3, S 301 18 Halmstad, Sweden and Department of Applied Electronics, Kaunas University of Technology, Studentu 50, LT- ...;Intelligent Systems Laboratory, Halmstad University, Box 823, Kristian IVs vag 3, S 301 18 Halmstad, Sweden;Department of Applied Electronics, Kaunas University of Technology, Studentu 50, LT-3031 Kaunas, Lithuania
Venue:
Engineering Applications of Artificial Intelligence
Year:
2005

Citing 11
Cited 3

A survey of the Hough transform

Computer Vision, Graphics, and Image Processing
A circle-detection algorithm simulating wave propagation

Machine Vision and Applications
A method for detection of circular arcs based on the Hough transform

Machine Vision and Applications
Circular arc detection based on Hough transform

Pattern Recognition Letters
Detection and estimation of circular arc segments

Pattern Recognition Letters
A method for recognizing particles in overlapped particle images

Pattern Recognition Letters
A vision system based on a laser range-finder applied to robotic fruit harvesting

Machine Vision and Applications
Robust clustering methods: a unified view

IEEE Transactions on Fuzzy Systems
A possibilistic approach to clustering

IEEE Transactions on Fuzzy Systems
Fuzzy and possibilistic shell clustering algorithms and their application to boundary detection and surface approximation. II

IEEE Transactions on Fuzzy Systems
The fuzzy c spherical shells algorithm: A new approach

IEEE Transactions on Neural Networks

An Efficient Technique to Detect Visual Defects in Particleboards

Informatica
Possibilistic shell clustering of template-based shapes

IEEE Transactions on Fuzzy Systems
Fuzzy clustering with semantically distinct families of variables: Descriptive and predictive aspects

Pattern Recognition Letters

Quantified Score

Hi-index	0.00

Visualization

Abstract

Various intelligent systems show a rapidly growing potential use of visual information processing technologies. This paper presents an example of employing visual information processing technologies for detecting and measuring rings in banknote images. The size of the rings is one of parameters used to inspect the banknote printing quality. The approach developed consists of two phases. In the first phase, based on histogram processing and data clustering, image areas containing rings are localized and edges of the rings are detected. Then, in the second phase, applying the hard and possibilistic spherical shell clustering to the extracted edge pixels the ring centre and radii are estimated. The experimental investigations performed have shown that even highly occluded rings are robustly detected. Several prototypes of the system developed have been installed in two banknote printing shops in Europe.