• DocumentCode
    644272
  • Title

    Improving accuracy of facial recognition systems for distant targets

  • Author

    Jun-Horng Chen ; Chin-Lun Lai ; Chih-Hong Chu ; Jing-Ying Hsu

  • Author_Institution
    Dept. of Commun. Eng., Oriental Inst. of Technol., Taipei, Taiwan
  • fYear
    2013
  • fDate
    1-4 Oct. 2013
  • Firstpage
    92
  • Lastpage
    93
  • Abstract
    This work is aimed at improving the accuracy of the PCA-based facial recognition system for distant targets. Since the faces captured from distant targets are inevitably with lower resolution in contrast to the enrolled faces in the database, enhancing the effective resolution will be accordingly adopted to improve the accuracy. This work will category the approaches and experimentally compare the performance of them, which provides a valuable recommendation for the design of a practical facial recognition system.
  • Keywords
    face recognition; image resolution; principal component analysis; visual databases; PCA; accuracy improvement; database; distant targets; facial recognition systems; image resolution; principal component analysis; Accuracy; Databases; Energy resolution; Face recognition; Image resolution; Interpolation; Principal component analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Electronics (GCCE), 2013 IEEE 2nd Global Conference on
  • Conference_Location
    Tokyo
  • Print_ISBN
    978-1-4799-0890-5
  • Type

    conf

  • DOI
    10.1109/GCCE.2013.6664936
  • Filename
    6664936