A Direct Locality Preserving Projections (DLPP) Algorithm for Image Recognition

  • Authors:
  • Guiyu Feng;Dewen Hu;Zongtan Zhou

  • Affiliations:
  • Department of Automatic Control, College of Mechatronics and Automation, National University of Defense Technology, Hunan, P.R. China 410073;Department of Automatic Control, College of Mechatronics and Automation, National University of Defense Technology, Hunan, P.R. China 410073;Department of Automatic Control, College of Mechatronics and Automation, National University of Defense Technology, Hunan, P.R. China 410073

  • Venue:
  • Neural Processing Letters
  • Year:
  • 2008

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Abstract

This paper proposes a novel locality preserving projections (LPP) algorithm for image recognition, namely, the direct locality preserving projections (DLPP), which directly optimizes locality preserving criterion on high-dimensional raw images data via simultaneous diagonalization, without any dimensionality reduction preprocessing. Our algorithm is a direct and complete implementation of LPP. Experimental results on the PolyU palmprint database and ORL face database show the effectiveness of the proposed algorithm.