• DocumentCode
    692016
  • Title

    Slant Discriminant Analysis for Image Feature Extraction

  • Author

    Li-Yan Zhao ; Dong Zou ; Guanghong Gao

  • Author_Institution
    Dept. of Math., Heihe Coll., Heihe, China
  • fYear
    2013
  • fDate
    16-18 Oct. 2013
  • Firstpage
    361
  • Lastpage
    364
  • Abstract
    In this paper, a novel feature extraction algorithm,called Slant discriminant analysis (SDA), is proposed. SDA aims to use the relation of rows and columns of image samples to extract the directional feature of the image samples. The proposed algorithm is applied to image classification on Yale face Database.The experimental results demonstrate the effectiveness of the proposed algorithm.
  • Keywords
    feature extraction; image classification; image sampling; SDA; Yale face database; directional feature extraction; image classification; image feature extraction; image samples; slant discriminant analysis; Algorithm design and analysis; Face; Face recognition; Feature extraction; Prototypes; Signal processing algorithms; Training; Index TermsSubspace learning; image feature extraction;;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Information Hiding and Multimedia Signal Processing, 2013 Ninth International Conference on
  • Conference_Location
    Beijing
  • Type

    conf

  • DOI
    10.1109/IIH-MSP.2013.97
  • Filename
    6846653
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=692016