Feature Based Indian Currency Detection Using Minimum Weight Distance Classifier

The Automated Currency Recognition is of great interest as a number of automated banking systems used by financial institutions make use of it as their main function. A review of the literature on banknote recognition, however, reveals that there are no methods that have been proposed or put into practice for the identification of recently issued bank notes. Real-time applications can benefit from the suggested approach's excellent performance and relative time efficiency. We believe that the composite feature described in this thesis which combines elements of both color and texture is a first in the field of banknote identification. Our contribution is that this research initiative and the suggested technology have made real-time recognition of recently released ultimate development of real-time multi-currency recognition is made feasible by banknotes.