• DocumentCode
    3205879
  • Title

    The improved multi-scale Retinex algorithm and its application in face recognition

  • Author

    Shengtao Ma ; Zengru Jiang ; Ting Zhang

  • Author_Institution
    Sch. of Autom., Beijing Inst. of Technol., Beijing, China
  • fYear
    2015
  • fDate
    23-25 May 2015
  • Firstpage
    5785
  • Lastpage
    5788
  • Abstract
    In this paper an improved multi-scale Retinex algorithm is studied to solve the insufficiency that the traditional multi-scale Retinex algorithm is incapable of non-uniform illumination images. Before being processed by the multi-scale Retinex algorithm, the given images are preprocessed by a nonlinear transformation to make the illumination of images tends to uniform. Besides, the improved algorithm is combined with PCA and LDA algorithm and apply for face recognition to identify the face images under complex illumination. Simulations show that the improved algorithm has a better ability for various illumination, and it increases the recognition rate under complex illumination.
  • Keywords
    face recognition; principal component analysis; LDA algorithm; PCA; complex illumination; face images identification; face recognition; images preprocessing; linear discriminant analysis; multiscale Retinex algorithm; nonlinear transformation; nonuniform illumination images; principal component analysis; Algorithm design and analysis; Dynamic range; Face; Face recognition; Lighting; Principal component analysis; Robustness; complex illumination; face recognition; multi-scale Retinex; nonlinear transformation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2015 27th Chinese
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-1-4799-7016-2
  • Type

    conf

  • DOI
    10.1109/CCDC.2015.7161838
  • Filename
    7161838