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Sequential Row–Column 2DPCA for face recognition

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Abstract

For better representation and feature extraction of face images, a two-stage method, called Sequential Row–Column 2DPCA (RC2DPCA), is proposed in this paper, which uses 2DPCA operated in the row direction and alternative 2DPCA operated in column direction. RC2DPCA can compress image in row and column direction. RC2DPCA needs fewer coefficients for image representation than 2DPCA. The experimental results on the ORL and FERET face database show that RC2DPCA works well and surpasses 2DPCA, BDPCA, and GPCA.

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Acknowledgments

This project is supported by NSF of China (90820009, 61005008, 60803049, 60875010), Program for New Century Excellent Talents in University Of China (NCET-08-0106), China Postdoctoral Science Foundation (20100471000) and the Fundamental Research Funds for the Central Universities (2010B10014).

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Authors and Affiliations

  1. School of Automation, Southeast University, Nanjing, 210096, China

    Wankou Yang & Changyin Sun

  2. Face Aging Group, Department of Computer Science, UNC Wilmington, Wilmington, NC, USA

    Wankou Yang & Karl Ricanek

Authors
  1. Wankou Yang
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  2. Changyin Sun
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  3. Karl Ricanek
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Correspondence to Wankou Yang.

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Yang, W., Sun, C. & Ricanek, K. Sequential Row–Column 2DPCA for face recognition. Neural Comput & Applic 21, 1729–1735 (2012). https://doi.org/10.1007/s00521-011-0676-5

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  • DOI: https://doi.org/10.1007/s00521-011-0676-5

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