Mobile app for detection of counterfeit banknotes

Abstract

Mobile phone usage has become very common. The market continues to grow as more advanced functionalities are incorporated in mobile phones. They possess sufficient computational capability that is needed for the identification and authentication of banknotes. This paper presents a mobile application for the recognition of banknote denominations and detection of counterfeit Nigerian Naira notes using Unity 3D – which is a multiplatform mobile application development system. The system extracted the face value of the banknotes and evaluated its performance using a combination of several KNN distant measures based on a Cascaded Ensemble approach. It was tested on the Android and iOS platforms using a Samsung Galaxy S6 and an iPhone 6 respectively. The experimental results presented a 99.27% recognition rate, a 94.70% detection rate, at an average processing time of 0.02 ms.