DeViTC: Deep-Vision Transformer to Recognize Originality of Currency

This paper presents a deep learning-based banknote recognition system using the Vision Transformer (ViT) architecture. Evaluated on Indian currency and four datasets, the ViT’s attention mechanism enhances accuracy with data augmentation. Comparisons with ResNet, VGG, GoogleNet, and EfficientNet demonstrate its robustness, aiding financial inclusion.