Visual Watermark Identification From the Transparent Window of Currency by Using Deep Learning
Duo Tong, Wei Qi Yan · Advances in information security, privacy, and ethics book series · 2023
Banknote identification plays an increasingly important role in financial fields due to the diffusion of automatic bank systems in terms of vending machines. Nowadays, YOLOv5 has become the state-of-the-art detector of visual objects because of its relatively outperformed accuracy with a high speed of computing. In this chapter, the squeeze-excitation (SE) attention module is mingled with the terminal of the backbone in YOLOv5 to further improve visual watermark recognition of paper banknotes. The main contribution of this chapter is that the excellent precision reaches 99.99% by utilizing the novel model YOLOv5+SE.