›› 2012, Vol. ›› Issue (06): 1527-1531.

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Face recognition based on discrimination power analysis and LDA-LPP algorithm

CAO Jie1,2, WU Di1, LI Wei2   

  1. 1. College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou 730050, China;
    2. College of Computer and Communication, Lanzhou University of Technology, Lanzhou 730050, China
  • Received:2011-08-31 Online:2012-11-01

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Abstract: The objectives of this paper are how to select the most effective DCT coefficients as recognition features and how to extract face features from locality and globality. A face recognition method is proposed based on Discrimination Power Analysis (DPA) and LDA-LPP algorithm. In this method, first, DCT transformation of face image is conducted. Then according to DPA, DCT coefficients are selected. Finally, integrating LDA, which can describe raw data from global situation, and LPP, which can maintain local adjacent relationship, a fusion recognition algorithm based on LDA-LPP is developed. The new algorithm can maintain both the local characteristics and global characteristics of the data. Besides, it rebuilds and lays out the raw data from the global situation. Experiments on ORL and Yale face databases show that the new algorithm can not only select the effective DCT coefficients but also improve the precision and robustness of the recognition process.

Key words: computer application, discrimination power analysis(DPA), discrete cosine transform(DCT), linear discriminate analysis(LDA), local preserving projections(LPP)

CLC Number: 

  • TP391.4
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