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  • A two-stage linear discriminant analysis for face recognition

    Author(s)
    Sharma, Alok
    Paliwal, Kuldip K
    Griffith University Author(s)
    Paliwal, Kuldip K.
    Sharma, Alok
    Year published
    2012
    Metadata
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    Abstract
    A two-stage linear discriminant analysis technique is proposed that utilizes both the null space and range space information of scatter matrices. The technique regularizes both the between-class scatter and within-class scatter matrices to extract the discriminant information. The regularization is conducted in parallel to give two orientation matrices. These orientation matrices are concatenated to form the final orientation matrix. The proposed technique is shown to provide better classification performance on face recognition datasets than the other techniques.A two-stage linear discriminant analysis technique is proposed that utilizes both the null space and range space information of scatter matrices. The technique regularizes both the between-class scatter and within-class scatter matrices to extract the discriminant information. The regularization is conducted in parallel to give two orientation matrices. These orientation matrices are concatenated to form the final orientation matrix. The proposed technique is shown to provide better classification performance on face recognition datasets than the other techniques.
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    Journal Title
    Pattern Recognition Letters
    Volume
    33
    Issue
    9
    DOI
    https://doi.org/10.1016/j.patrec.2012.02.001
    Subject
    Cognitive and computational psychology
    Publication URI
    http://hdl.handle.net/10072/50043
    Collection
    • Journal articles

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