Multimodal Biometric Authentication using Convolutional Neural Network, Swin Transformer, and Multi-Head Attention with Global Max Pooling

Multimodal biometric authentication is a robust security mechanism designed to enhance the reliability and security of user-authentication systems. It integrates several biometric traits to provide an accurate and secure identification system. However, existing Deep Learning (DL) models struggle to...

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Hlavní autoři:	Sharhrah Shafiq, G Divya, K N Hareesh, Rajendra Prasad Babu, Anusuya K.P.
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	EDP Sciences 2025-01-01
Edice:	ITM Web of Conferences
On-line přístup:	https://www.itm-conferences.org/articles/itmconf/pdf/2025/10/itmconf_keis2025_01052.pdf
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