Multimodal Biometrics Classification Using Long Short Term Memory with Sigmoid Functions-Reference-Cited by-同舟云学术

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Multimodal Biometrics Classification Using Long Short Term Memory with Sigmoid Functions

Published:2023-12-04 Issue: Volume: Page:1-6
ISSN:
Container-title:2023 3rd International Conference on Mobile Networks and Wireless Communications (ICMNWC)
language:
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Author:

Reddy R Archana¹,Kurian Smitha²,Ramadan Ghazi Mohamad³,Abood Baydaa Sh. Z.⁴,Habelalmateen Mohammed I.⁵

Affiliation:

1. School of Computer Science and Artificial Intelligence, SR University,Warangal,Telangana,India

2. HKBK. College of Engineering,Department of Computer Science,Bengaluru,India

3. College of MLT, Ahl Al Bayt University,Karbala,Iraq

4. National University of Science and Technology,Dhi Qar,Iraq

5. The Islamic university,Najaf,Iraq

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10435701/10435648/10435921.pdf?arnumber=10435921

Reference16 articles.

1. Deep Hashing for Secure Multimodal Biometrics

2. FV-ViT: Vision Transformer for Finger Vein Recognition

3. A multi-agent based enhancement for multimodal biometric system at border control

4. Outside Box and Contactless Palm Vein Recognition Based on a Wavelet Denoising ResNet

5. DGLFV: Deep Generalized Label Algorithm for Finger-Vein Recognition

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