Optimizing Facial Recognition: An Analytical Comparison of Traditional and Deep Learning Approaches-Reference-Cited by-同舟云学术

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Optimizing Facial Recognition: An Analytical Comparison of Traditional and Deep Learning Approaches

Published:2024-07-10 Issue: Volume: Page:271-276
ISSN:
Container-title:2024 International Conference on Data Science and Its Applications (ICoDSA)
language:
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Author:

Sakib Shadman¹,Siddiky Md Nurul Absar²,Arifuzzaman Md.³,Chowdhury Md. Jalal Uddin³

Affiliation:

1. University of Maryland, Baltimore County,Department of Information Systems,Maryland,USA,21250

2. University of North Carolina at Charlotte,Department of Electrical and Computer Engineering,Charlotte,USA

3. Leading University, Sylhet,Department of Computer Science and Engineering,Sylhet,Bangladesh

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10651574/10651615/10651632.pdf?arnumber=10651632

Reference24 articles.

1. Face perception foundations for pattern recognition algorithms

2. Guide to Biometric Reference Systems and Performance Evaluation

3. Semiautomatic facial recognition;Bledsoe;Technical report sri project 6693,1968

4. Application of the Karhunen-Loeve procedure for the characterization of human faces

5. Eigenfaces for Recognition

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