Optimal subset-division based discrimination and its kernelization for face and palmprint recognition

DOI10.1016/J.PATCOG.2012.04.001zbMath1242.68271DBLPjournals/pr/JingLZLY12OpenAlexW2051672875WikidataQ57809630 ScholiaQ57809630MaRDI QIDQ437753

David Zhang, Sheng Li, Chao Lan, Jing-Yu Yang, Xiao-Yuan Jing

Publication date: 19 July 2012

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

Full work available at URL: https://doi.org/10.1016/j.patcog.2012.04.001

zbMATH Keywords

discriminant analysiskernel methodface recognitionimproved stability criterionoptimal subset-divisionpalmprint recognition

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Pattern recognition, speech recognition (68T10)

Cites Work

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• Perturbation LDA: Learning the difference between the class empirical mean and its expectation
• Regularized discriminant analysis and its application to face recognition
• UODV: Improved algorithm and generalized theory.
• Some simple algorithms for the evaluations and representations of the Riemann zeta function at positive integer arguments
• Face and palmprint pixel level fusion and kernel DCV-RBF classifier for small sample biometric recognition
• A direct LDA algorithm for high-dimensional data -- with application to face recognition

Related Items (2)

Face and palmprint pixel level fusion and kernel DCV-RBF classifier for small sample biometric recognition ⋮ Kernel-based mixture models for classification

Uses Software

• KPCA plus LDA
• FERET
• PolyU palmprint
• AR face
• Unnamed Item

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