Multi Task Learning Based Transformer Model for RealTime Indian Fake Currency Detection & Conversion
Year: 2025
Type: article
Abstract: - Economic systems frequently face the problem of counterfeit money circulation, which compromises financial credibility and transaction integrity. Even while manual and UV-based inspection methods are widely utilized, they are time-consuming, prone to human mistake, and inefficient and subjective, hence automated replacements are required. In order to improve and automate the detection of counterfeit cash, this study proposes a hybrid deep learning model that makes use of Transformers, Convolutional Neural Networks (CNNs), and Recurrent Neural Networks (RNNs).
Authors: Karthik. S, Manjunath. K, Nishal. P.H, Rizwan. S, Nirupa. V
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4411501626