Multimodal biometric identification: leveraging convolutional neural network (CNN) architectures and fusion techniques with fingerprint and finger vein data

被引：0

作者：

Alshardan, Amal ^{[1
]}

Kumar, Arun ^{[2
]}

Alghamdi, Mohammed ^{[3
]}

Maashi, Mashael ^{[4
]}

Alahmari, Saad ^{[5
]}

Alharbi, Abeer A.K. ^{[6
]}

Almukadi, Wafa ^{[7
]}

Alzahrani, Yazeed ^{[8
]}

机构：

[1] Department of Information Systems, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, Riyadh, Riyadh, Saudi Arabia

[2] Department of Computer Science & Engineering, G.L Bajaj Institute of Technology and Management, Gr. Noida, India

[3] Department of Information Systems, College of Computer Science, King Khalid University, Asir, Abha, Saudi Arabia

[4] Department of Software Engineering, College of Computer and Information Sciences, King Saud University, Riyadh, Riyadh, Saudi Arabia

[5] Department of Computer Science, Applied College, Northern Border University, Northern Borders, Arar, Saudi Arabia

[6] Department of Information Systems, College of Computer and Information Sciences, Imam Mohammad Ibn Saud Islamic University, Riyadh, Riyadh, Saudi Arabia

[7] Department of Software Engineering, College of Engineering and Computer Science, University of Jeddah, Makkah, Jeddah, Saudi Arabia

[8] Department of Computer Engineering, College of Engineering, Prince Sattam Bin Abdulaziz University, Wadi Addawasir, Riyadh, Saudi Arabia

来源：

PeerJ Computer Science | 2024年 / 10卷

关键词：

Authentication - Contrastive Learning - Deep neural networks - Equalizers - Image enhancement - Image fusion - Multilayer neural networks - Palmprint recognition - Time difference of arrival;

D O I：

10.7717/PEERJ-CS.2440

中图分类号：

学科分类号：

摘要：

引用

共 30 条

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