• DocumentCode
    1898540
  • Title

    A New Design of Experimental Schemes of Complex Matrix LDA

  • Author

    Wang, Xiaohui

  • Author_Institution
    Dept. of Math & Inf. Technol., HanShan Normal Univ., Chaozhou, China
  • fYear
    2010
  • fDate
    25-26 Dec. 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Two-Dimension Linear Discriminant Analysis (2DLDA) and complex-matrix LDA are two noticeable improvements to conventional LDA. They can achieve a good performance respectively. However, the complex-matrix LDA is very suitable for bimodal biometrics. In this paper, we indicate the two available implementation procedures of complex-matrix, i.e. the original implementation procedure and one alternative implementation procedure proposed in this work. The following new implementation scheme for complex-matrix LDA would be designed: Firstly, the two available implementation procedures of complex-matrix LDA will be carried out and then their results to perform face recognition using the matching score fusion algorithm integrated. A higher classification accuracy indicates the proposed implementation scheme more useful than both of the two available implementation procedures of complex-matrix LDA.
  • Keywords
    biometrics (access control); design of experiments; face recognition; image classification; image fusion; image matching; matrix algebra; 2D linear discriminant analysis; bimodal biometrics; classification accuracy; complex matrix linear discriminant analysis; design of experimental scheme; face recognition; matching score fusion algorithm; Accuracy; Classification algorithms; Face; Face recognition; Testing; Training;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Engineering and Computer Science (ICIECS), 2010 2nd International Conference on
  • Conference_Location
    Wuhan
  • ISSN
    2156-7379
  • Print_ISBN
    978-1-4244-7939-9
  • Electronic_ISBN
    2156-7379
  • Type

    conf

  • DOI
    10.1109/ICIECS.2010.5678237
  • Filename
    5678237