A Comparative Study of the Performances of Single-mode, Two-mode, and Three-mode Biometric Security Systems Using Deep Structured Learning Technique-Reference-Cited by-同舟云学术

A Comparative Study of the Performances of Single-mode, Two-mode, and Three-mode Biometric Security Systems Using Deep Structured Learning Technique

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,Abiodun Moses Kazeem¹^ORCID,Awotunde Joseph Bamidele²^ORCID,Adeniyi Jide Kehinde¹,Adeniyi Abidemi Emmanuel³^ORCID

Affiliation:

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

2. University of Ilorin,Department of Computer Science,Ilorin,Nigeria

3. Precious Cornerstone University,Department of Computer Science,Ibadan,Nigeria

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10124379/10124380/10124544.pdf?arnumber=10124544

Reference21 articles.

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

3. Multimodal Biometrics Using Face, Ear and Iris Modalities;snehlata;International Journal of Computer Applications (0975 - 8887) Recent Advances in Information Technology,2014

4. Performance Evaluation of a Modified Bimodal Biometric Security System for Student Result Management;afolabi;Proceedings of 4th International Conference on Mobile e-services the Senate Chamber LAUTECH,0

5. An Adaptive Histogram Equalization Algorithm on the Image Gray Level Mapping

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