Authentication of currency notes through printing technique verification

Authors:
Ankush Roy;Biswajit Halder;Utpal Garain
Affiliations:
Jadavpur University, Kolkata, India;Mallabhum Institute of Technology, Bisnupur, WB, India;Indian Statistical Institute, Kolkata, India
Venue:
Proceedings of the Seventh Indian Conference on Computer Vision, Graphics and Image Processing
Year:
2010

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Abstract

An image analysis based pattern classification method is proposed to authentic the printing process used in printing different texts on currency notes. Features suitable for doing this are selected and then studied to detect fraudulent samples based on the printing method. This classification is done by using Support Vector Machines and Neural Nets. The discriminatory power of the selected features in authenticating the printing process is tested using the Linear Discriminate Analysis. Experimental results show that the proposed framework provides a highly accurate framework for authenticating the printing process in bank notes.