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Multi-Feature Neural Network-Based Currency Authentication: Integrating Texture, Color, and Size for Robust Banknote Recognition

open access: yesInformatica
This paper presents a multi-feature neural network-based system for banknote recognition, enhancing robustness and accuracy in challenging conditions such as worn, faded, and distorted banknotes. Texture features are extracted using Principal Component Analysis (PCA), while color information is combined with texture into a unified feature vector.
openaire   +1 more source

Kazakh banknote image dataset. [PDF]

open access: yesData Brief
Sadyk U, Yerzhan M, Turan C, Wang H.
europepmc   +1 more source

Sustainable multifunctional zinc oxide quantum dots-aided double-layers security paper sheets. [PDF]

open access: yesHeliyon, 2023
Hasanin MS   +5 more
europepmc   +1 more source

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