DeViTC: Deep-Vision Transformer to Recognize Originality of Currency

Dulari Gajjar, Prisha Faldu, Deep Kothadiya, Aayushi Chaudhari, Nikita Bhatt · Computer · 2025

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.

Read the paper · More papers on PaperTik