Statistical Analysis of a Deep Learning Based Trimodal Biometric System Using Paired Sampling T-Test-Reference-Cited by-同舟云学术

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Statistical Analysis of a Deep Learning Based Trimodal Biometric System Using Paired Sampling T-Test

Published:2023-04-05 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Science, Engineering and Business for Sustainable Development Goals (SEB-SDG)
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Author:

Atanda Oladayo Gbenga¹^ORCID,Ismaila Wasiu²,Afolabi Adeolu Olabode³,Awodoye Olufemi Adeyanju⁴,Falohun Adeleye Samuel⁵,Oguntoye Jonathan Ponmile³

Affiliation:

1. Landmark University,Department of Computer Science,Omu-Aran,Nigeria

2. LAUTECH,Department of Cyber-security Science,Ogbomoso,Nigeria

3. LAUTECH,Department of Computer Engineering,Ogbomoso,Nigeria

4. LAUTECH,Department of Computer Science,Ogbomoso,Nigeria

5. Ajayi Crowther University,Department of Computer Engineering,Oyo,Nigeria

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10124379/10124380/10124624.pdf?arnumber=10124624

Reference27 articles.

1. HIERARCHICAL STRUCTURE BASED CONVOLUTIONAL NEURAL NETWORK FOR FACE RECOGNITION

2. Iris Recognition With Off-the-Shelf CNN Features: A Deep Learning Perspective

3. Minimizing inter-subject variability in fNIRS-based brain–computer interfaces via multiple-kernel support vector learning

4. Learning Deep Architectures for AI

5. Iris Recognition System (IRS) Using Deep Learning Technique

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