Automatic Recognition of Rupiah Currency using Naïve Bayes Classifier
Dewi Yanti Liliana, Indri Neforawati · 2013
Money is defined as a medium of exchange that can be universally accepted. When someone withdraw or save money which requires identification of cash transactions accurately, sometimes often mistaken because the color of money is almost the same. It will certainly harm others. Along with the development of technology, it is necessary to use intelligent techniques to recognize the Banknote automatically. With the identification of this Rupiah currency, expected the computer to recognize or classify Banknote quickly and accurately, even if the money is not grouped or in random order. This application uses an image of money as input, in any kind of Rupiah currency. The application can recognize and classify types of currencies by using the RGB color feature with Naive Bayes Classifier. The test results demonstrate the accuracy of the recognition system is very good.