• DocumentCode
    2171540
  • Title

    An improved face recognition algorithm based on SVD

  • Author

    Cao, Danyang ; Yang, Bingru

  • Author_Institution
    Coll. of Inf. Eng., North China Univ. of Technol., Beijing, China
  • Volume
    3
  • fYear
    2010
  • fDate
    26-28 Feb. 2010
  • Firstpage
    109
  • Lastpage
    112
  • Abstract
    This paper presents an improved face recognition algorithm based on SVD. The algorithm uses a sampling window to sample overlapping from top to bottom. According to all the matrices obtained by overlapping sampling, we count the singular values for all the matrices, reduce dimension and compression, and get k maximal singular values of every matrix that are formed a group of vectors. The group of vectors is acted as the features of the image to recognize. Experiments show that the recognition rate of the improved algorithm is higher.
  • Keywords
    face recognition; matrix algebra; singular value decomposition; SVD; face recognition algorithm; matrix; maximal singular values; Authentication; Biometrics; Educational institutions; Face recognition; Humans; Image coding; Image recognition; Image sampling; Matrix decomposition; Singular value decomposition; HMM; SVD; face recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Automation Engineering (ICCAE), 2010 The 2nd International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-5585-0
  • Electronic_ISBN
    978-1-4244-5586-7
  • Type

    conf

  • DOI
    10.1109/ICCAE.2010.5452051
  • Filename
    5452051
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2171540