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...
| 出版年: | ITM Web of Conferences |
|---|---|
| 主要な著者: | , , , , |
| フォーマット: | 論文 |
| 言語: | 英語 |
| 出版事項: |
EDP Sciences
2025-01-01
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| オンライン･アクセス: | https://www.itm-conferences.org/articles/itmconf/pdf/2025/10/itmconf_keis2025_01052.pdf |