A Novel Technique for the Detection of Currency based on Internal Features

The image analysis is the technique of image processing which helps to analyze various properties of the input image. In the recent times various application of the image analysis comes into existence. The current detection is the application of image analysis which is used to define that whether currency is fake or genuine. In the recent times various algorithms has been proposed which is based on SIFT algorithm to analyze external features of input currency. In the existing algorithm only external features are analyzed which reduced accuracy of detection. In this work, new technique is been proposed which is based on to analyze internal features of the image for the detection. The internal features of the image are strip values of the currency. The simulation is been performed in MATLAB and it is been analyzed that accuracy of detection is increased up to 10 percent and fault detection rate is reduced up to 8 percent.