SVM-based feature extraction for face recognition

DOI10.1016/j.patcog.2010.03.008zbMath1213.68534OpenAlexW2004175383MaRDI QIDQ975200

Kar-Ann Toh, Youn Jung Park, Sang-Ki Kim, Sang-Youn Lee

Publication date: 8 June 2010

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.patcog.2010.03.008

zbMATH Keywords

discriminant analysisface recognitionidentity verificationsupport vector

Mathematics Subject Classification ID

Pattern recognition, speech recognition (68T10)

Related Items (3)

Hierarchical mixing linear support vector machines for nonlinear classification ⋮ On Lagrangian L2-norm pinball twin bounded support vector machine via unconstrained convex minimization ⋮ Feature extraction of face image based on LBP and 2-D Gabor wavelet transform

Uses Software

• Kernel-Machines
• ElemStatLearn
• FERET
• CMU PIE
• AR face

Cites Work

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• Face recognition incorporating ancillary information
• Theoretical foundations of the potential function method in pattern recognition learning
• Local feature analysis: a general statistical theory for object representation
• Learning the parts of objects by non-negative matrix factorization
• The elements of statistical learning. Data mining, inference, and prediction
• A direct LDA algorithm for high-dimensional data -- with application to face recognition

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