Locality preserving discriminant projections for face and palmprint recognition

  title={Locality preserving discriminant projections for face and palmprint recognition},
  author={Jie Gui and Wei Jia and Ling Zhu and Shu-Ling Wang and De-shuang Huang},
A new subspace learning algorithm called locality preserving discriminant projections (LPDP) is proposed by adding the criterion of maximum margin criterion (MMC) into the objective function of locality preserving projections (LPP). LPDP retains the locality preserving characteristic of LPP and utilizes the global discriminative structures obtained from MMC, which can maximize the betweencriterion and Fisher criterion has more discriminanting power, and is more suitable for recognition tasks… CONTINUE READING
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Publications referenced by this paper.
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  • D. Cai, X. He
  • Zhou et al., Locality sensitive discriminant…
  • 2007
Highly Influential
11 Excerpts


  • S. C. Yan, D. Xu
  • Yang, et al., Multilinear discriminant analysis…
  • 2007
Highly Influential
15 Excerpts

Eigenfaces vs

  • P. N. Belhumeur, J. P. Hespanha, D. J. Kriegman
  • Fisherfaces: recognition using class specific…
  • 1997
Highly Influential
9 Excerpts


  • J. Wright, A. Y. Yang
  • Ganesh, et al., Robust face recognition via…
  • 2009
1 Excerpt

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