• DocumentCode
    3698778
  • Title

    Dynamically optimizing face recognition using PCA

  • Author

    Zhihong Zhao; Beibei Li

  • Author_Institution
    Electronic and automation department, Nanjing Institute of Industry Technology, China
  • fYear
    2015
  • Firstpage
    123
  • Lastpage
    127
  • Abstract
    A dynamically optimizing PCA method for face recognition is presented. Firstly, DCT is adopted, and their mean gray values are obtained. The face images are grouped into three sorted groups: Large, Medium and Small, and then calculate their means. Then, the Eigenvalue number is chosen as 9 and 10. Finally, recognition and reconstruction may be accomplished. The results show that this method achieved better results compared to a number of state of the art PCA variants.
  • Keywords
    "Principal component analysis","Face","Databases","Discrete cosine transforms","Face recognition","Frequency-domain analysis","Covariance matrices"
  • Publisher
    ieee
  • Conference_Titel
    Control, Automation and Information Sciences (ICCAIS), 2015 International Conference on
  • Type

    conf

  • DOI
    10.1109/ICCAIS.2015.7338646
  • Filename
    7338646
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3698778