• DocumentCode
    2558876
  • Title

    Color face recognition based on NMF with Fisher rule

  • Author

    Bai, Xiaoming ; Wang, Chengzhang

  • Author_Institution
    Coll. of Inf., Capital Univ. of Econ. & Bus., Beijing, China
  • fYear
    2010
  • fDate
    16-18 April 2010
  • Firstpage
    467
  • Lastpage
    471
  • Abstract
    Color face provides more cues for face recognition task than grey scale ones. A novel color face recognition approach based on NMF algorithm with Fisher rule coined Fisher-NMF is proposed in this paper. The approach employs matrix to encode color information of different channels. Fisher discrimination rule is integrated with the non-negative matrix factorization algorithm to extract facial features. Nearest neighborhood classifier is adopted to identify color face samples. Experimental results on CVL and CMU PIE color face databases verify the effectiveness of the proposed approach.
  • Keywords
    face recognition; feature extraction; image colour analysis; matrix decomposition; pattern classification; Fisher discrimination rule; Fisher-NMF algorithm; color face recognition; facial feature extraction; nearest neighborhood classifier; nonnegative matrix factorization; Data mining; Educational institutions; Face detection; Face recognition; Facial features; Finance; Image converters; Image recognition; Mathematics; Robustness; Face recognition; Fisher discrimination; Non-negative matrix factorization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Management and Engineering (ICIME), 2010 The 2nd IEEE International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-5263-7
  • Electronic_ISBN
    978-1-4244-5265-1
  • Type

    conf

  • DOI
    10.1109/ICIME.2010.5478302
  • Filename
    5478302