Hybrid Adaptive Face Recognition Framework (HAFRF): A Machine Learning Approach Integrating YOLOv11, FaceNet, Adaptive PCA, and Support Vector Machine

Janani Pappu PE; Devanathan B

doi:10.59256/indjcst.20260502103

Original Article

Hybrid Adaptive Face Recognition Framework (HAFRF): A Machine Learning Approach Integrating YOLOv11, FaceNet, Adaptive PCA, and Support Vector Machine

Volume 5, Issue 2
Pages 951-957
Published Online: May-August 2026

Open Access Peer Reviewed Crossref DOI

Authors

Janani Pappu PE¹
Devanathan B²

¹ ² Department of Computer and Information Science, Annamalai University, Chidambaram, Tamilnadu, India.

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Article Information

DOI: https://www.doi.org/10.59256/indjcst.20260502103
Published In: Volume 5, Issue 2 (2026)
Published Online: May-August 2026
Pages: 951-957
Article Type: Original Article
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Citations

Janani Pappu PE, Devanathan B, “Hybrid Adaptive Face Recognition Framework (HAFRF): A Machine Learning Approach Integrating YOLOv11, FaceNet, Adaptive PCA, and Support Vector Machine”, Indian Journal of Computer Science and Technology, Volume 05, Issue 02 (May-August 2026), PP: 951-957.

Hybrid Adaptive Face Recognition Framework (HAFRF): A Machine Learning Approach Integrating YOLOv11, FaceNet, Adaptive PCA, and Support Vector Machine

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