Title :
Image segmentation of UV pattern for automatic paper-money inspection
Author :
Lee, Keon-Ho ; Park, Tae-Hyoung
Author_Institution :
Dept. of Control & Robot Eng., Chungbuk Nat. Univ., Cheong-ju, South Korea
Abstract :
We propose an image segmentation method for automatic paper-money inspection system. The UV (ultra violet) patterns embedded in the paper money should be segmented to determine whether the money is genuine or not. We acquired the image by directional lighting system using UV LEDs. In order to segment the pattern from the background, we apply the Gaussian mixture model to consider the multi-modal characteristics of the histogram. Experimental results are presented to verify the performance of the proposed method.
Keywords :
automatic optical inspection; image segmentation; light emitting diodes; lighting; pattern recognition; ultraviolet detectors; Gaussian mixture model; UV LED; UV pattern; automatic paper-money inspection; directional lighting system; image segmentation method; Brightness; Fluorescence; Histograms; Image segmentation; Inspection; Light emitting diodes; Lighting; Expectation Maximization (EM) algorithm; Gaussian mixture model; Image segmentation; Paper money inspection; Ultra violet (UV)) image;
Conference_Titel :
Control Automation Robotics & Vision (ICARCV), 2010 11th International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-7814-9
DOI :
10.1109/ICARCV.2010.5707429