Image-based approach for the detection of counterfeit banknotes of Bangladesh

Abstract

Currency duplication also known as counterfeit currency is a vulnerable threat on economy. It is now a common phenomenon due to advanced printing and scanning technology. Bangladesh has been facing serious problem by the increasing rate of fake notes in the market. To get rid of this problem various fake note detection methods are available around the world and most of these are hardware based and costly. In the present paper an automated image-based technique is described for the detection of fake banknotes of Bangladesh. Security features of banknotes such as watermark, micro-printing and hologram etc. are extracted from the banknote images and then detection is performed using Support Vector Machine (SVM). Experimental results confirm the effectiveness of the proposed algorithm.