• DocumentCode
    1561564
  • Title

    A Simple High Accuracy Approach for Face Recognition

  • Author

    Chen, Liang ; Tokuda, Naoyuki

  • Author_Institution
    Univ. of Northern British Columbia, Prince George
  • fYear
    2007
  • Firstpage
    92
  • Lastpage
    98
  • Abstract
    The theory that electoral college is more stable than direct popular vote is applied in face recognition. By simply adopting most traditional PCA approach, the experiments in this paper show a remarkably higher recognition rate than any known algorithm is reached with electoral college strategy on known FERET datasets. It indicates that a significant breakthrough can be expected by embedding electoral college with more effective face recognition algorithms.
  • Keywords
    face recognition; principal component analysis; FERET dataset; PCA approach; electoral college; face recognition; Associative memory; Cognitive informatics; Computer science; Educational institutions; Face recognition; Pattern matching; Pattern recognition; Pollution; Principal component analysis; Voting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cognitive Informatics, 6th IEEE International Conference on
  • Conference_Location
    Lake Tahoo, CA
  • Print_ISBN
    9781-4244-1327-0
  • Electronic_ISBN
    978-1-4244-1328-7
  • Type

    conf

  • DOI
    10.1109/COGINF.2007.4341877
  • Filename
    4341877