  Automatic bill classification is an attractive task with many potential
applications such as automated detection and counting in images or videos. To
address this purpose we present a Deep Learning Model to classify Chilean
Banknotes, because of its successful results in image processing applications.
For optimal performance of the proposed model, data augmentation techniques are
introduced due to the limited number of image samples. Positive results were
achieved in this work, verifying that it could be a stating point to be
extended to more complex applications.
