DaGAM-Trans: Dual graph attention module-based transformer for offline signature forgery detection

Objective: The detection of signature forgeries is a critical challenge in domains such as forensic investigations, financial security, and biometric authentication. This study aims to improve the offline detection of signature forgery, especially in cases of skilled forgeries where traditional meth...

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Hlavní autoři:	Sara Tehsin, Ali Hassan, Farhan Riaz, Inzamam Mashood Nasir
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Elsevier 2025-09-01
Edice:	Results in Engineering
Témata:	Offline signature verification Graph attention networks Vision transformers Channel attention Writer-independent verification Signature forgery detection
On-line přístup:	http://www.sciencedirect.com/science/article/pii/S2590123025024946
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