An LDOP approach for face identification under unconstrained scenarios-Reference-Cited by-同舟云学术

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An LDOP approach for face identification under unconstrained scenarios

Published:2023-03-01 Issue: Volume: Page:1-49
ISSN:0952-813X
Container-title:Journal of Experimental & Theoretical Artificial Intelligence
language:en
Short-container-title:Journal of Experimental & Theoretical Artificial Intelligence

Author:

Datta Rakshit Rinku¹,Rattani Ajita²,Kisku Dakshina Ranjan³^ORCID

Affiliation:

1. Department of Computer Engineering and Applications, GLA University, Mathura, India

2. Department of Electrical Engineering and Computer Science, Wichita State University, Wichita, Kansas, USA

3. Department of Computer Science and Engineering, National Institute of Technology Durgapur, Durgapur, India

Publisher

Informa UK Limited

Subject

Artificial Intelligence,Theoretical Computer Science,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/0952813X.2023.2183274

Reference80 articles.

1. Principal component analysis

2. Face recognition with Symmetric Local Graph Structure (SLGS)

3. Face Recognition with Local Binary Patterns

4. A New Fast Local Laplacian Completed Local Ternary Count (FLL-CLTC) for Facial Image Classification

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1. Enhancing Security and Privacy in Distributed Face Recognition Systems through Blockchain and GAN Technologies;Computers, Materials & Continua;2024

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