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

fYear

2010

fDate

7-10 Dec. 2010

Firstpage

1175

Lastpage

1180

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Automation Robotics & Vision (ICARCV), 2010 11th International Conference on

Conference_Location

Singapore

Print_ISBN

978-1-4244-7814-9

Type

conf

DOI

10.1109/ICARCV.2010.5707429

Filename

5707429