A Deep Learning Model for Chilean Bills Classification

Daniel Manzano Unidad de An alisis Institucional y Datos Universidad de Chile Santiago, Chile danielmanzano@uchile.cl Abstract --Automatic bill classification is an attractive task with many potential applications such as automated detection and counting in images or videos. T o 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. I NTRODUCTION The automatic classification of bills may be an interesting work as previous step for more complex applications for institutions such as banks or casinos.