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Face Recognition Techniques Survey by Salman umer is a document available to read on EtoBox.

The document summarizes different approaches to face recognition from images, including holistic, feature-based, and hybrid methods. It discusses several specific techniques: neural networks using backpropagation; geometrical feature matching that describes facial features and their positions; and graph matching that represents faces as graphs. A key approach discussed is eigenfaces, which uses principal component analysis to represent faces as weighted combinations of eigenvectors derived from sample face

Author
Salman umer
Language
EN