• DocumentCode
    2055992
  • Title

    Comparison and improvement of PCA and LBP efficiency for face recognition

  • Author

    Qasim, Romasa ; Shirazi, Mehran M. ; Arshad, Naveed ; Qureshi, Ijaz ; Zaidi, Syed Ali Raza

  • Author_Institution
    Pakistan Navy Eng. Coll., Karachi Nat. Univ. of Sci. & Technol., Islamabad, Pakistan
  • fYear
    2013
  • fDate
    25-26 Sept. 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Face recognition for personal identification is a method which appealed researchers for many years. Many algorithms have been developed in this regard. Among many, two algorithms are selected for feasibility study. There real time accuracy is measured and compared. Some hardware arrangements are suggested for better accuracy making concept more feasible for real-time environment.
  • Keywords
    face recognition; principal component analysis; LBP efficiency; PCA; face recognition; local binary pattern; personal identification; principal component analysis; Accuracy; Algorithm design and analysis; Face; Face recognition; Image recognition; Principal component analysis; Vectors; Comparison; Face Detection; Face Recognition; LBP; Local Binary Pattern; PCA; Principal Component Analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer,Control & Communication (IC4), 2013 3rd International Conference on
  • Conference_Location
    Karachi
  • Print_ISBN
    978-1-4673-6011-1
  • Type

    conf

  • DOI
    10.1109/IC4.2013.6653734
  • Filename
    6653734