  Automatic authentication of paper money has been targeted. Indian bank notes
are taken as reference to show how a system can be developed for discriminating
fake notes from genuine ones. Image processing and pattern recognition
techniques are used to design the overall approach. The ability of the embedded
security aspects is thoroughly analysed for detecting fake currencies. Real
forensic samples are involved in the experiment that shows a high precision
machine can be developed for authentication of paper money. The system
performance is reported in terms of both accuracy and processing speed.
Comparison with human subjects namely forensic experts and bank staffs clearly
shows its applicability for mass checking of currency notes in the real world.
The analysis of security features to protect counterfeiting highlights some
facts that should be taken care of in future designing of currency notes.
