• DocumentCode
    2699192
  • Title

    A Highly Robust Method for Face Authentication

  • Author

    Fooprateepsiri, Rerkchai ; Duangphasuk, Surakran

  • Author_Institution
    Fac. of Inf. Sci. & Technol., Mahanakorn Univ. of Technol., Bangkok, Thailand
  • fYear
    2009
  • fDate
    1-3 April 2009
  • Firstpage
    380
  • Lastpage
    385
  • Abstract
    This paper proposes a highly robust method for face authentication. Techniques introduced in this work are composed of two stages. Firstly, the feature of face is to be detected by the principle of Trace Transform. Then, in the second stage, the Hausdorff-Shape Context is employed to measure and determine of similarity between models and test images. From the experimental result of 2,520 images form ORL and Yale database, the accuracy rate is very high.s
  • Keywords
    face recognition; transforms; Hausdorff-shape context; ORL; Yale database; face authentication; trace transform; Authentication; Face detection; Face recognition; Feature extraction; Linear discriminant analysis; Object recognition; Principal component analysis; Robustness; Scattering; Shape measurement; Face Authentication; Hausdorff distance; Shape context; Trace Transform;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Information and Database Systems, 2009. ACIIDS 2009. First Asian Conference on
  • Conference_Location
    Dong Hoi
  • Print_ISBN
    978-0-7695-3580-7
  • Type

    conf

  • DOI
    10.1109/ACIIDS.2009.78
  • Filename
    5176024
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2699192