• DocumentCode
    3471903
  • Title

    A design of robust face identification system for environmental changing

  • Author

    Takimoto, H. ; Akamatsu, Nono ; Mitsukura, Y. ; Pedrycz, Witold

  • Author_Institution
    Tokushima Univ., Japan
  • Volume
    2
  • fYear
    2004
  • fDate
    27-30 June 2004
  • Firstpage
    858
  • Abstract
    We propose the face identification method, which is robust for lighting based on the feature points method. First of all, the proposed method extracts an edge of facial feature. Then, by the Hough transform, it determines ellipse parameters of each facial feature from the extracted edge. Finally, proposed method performs the face identification by using parameters. Even if face image is taken under various lighting condition, it is easy to extract the facial feature edge. Moreover, it is possible to extract a subject even if the object has not appeared enough because this method extracts approximately the parameters by the Hough transformation. Therefore, proposed method is robust for the lighting condition compared with conventional method. In order to show the effectiveness of the proposed method, using the real images does computer simulations.
  • Keywords
    Hough transforms; face recognition; feature extraction; Hough transform; face image extraction; feature points method; robust face identification system; Biometrics; Computer simulation; Data mining; Face detection; Face recognition; Facial features; Image recognition; Mouth; Nose; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Information, 2004. Processing NAFIPS '04. IEEE Annual Meeting of the
  • Print_ISBN
    0-7803-8376-1
  • Type

    conf

  • DOI
    10.1109/NAFIPS.2004.1337415
  • Filename
    1337415