• DocumentCode
    2824759
  • Title

    Personal Based Authentication by Face Recognition

  • Author

    Kao, Yungm Wei ; Gu, Hui Zhen ; Yuan, Shyan-Ming

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Nat. Chiao Tung Univ., Hsinchu
  • Volume
    2
  • fYear
    2008
  • fDate
    2-4 Sept. 2008
  • Firstpage
    581
  • Lastpage
    585
  • Abstract
    Authentication is a significant issue in system control. Traditional account based authentication doesn´t guarantee the exact person of the account. It also suffers from the easily guessed problem. On the other hand, the camera is more and more popular. Personal based authentication via cameras becomes possible for mobile users. In the paper, we propose the PBAS, which conducts the authentication depends on both face image and password. We claim that the password information can be used to enhance face recognition rate, which is the most significant benchmark for identification system. Finally, we simulate the PBAS by PCA method based on both database we constructed and a subset of FERET. The result of experiment shows that our system performs much better than the PCA method without password integration.
  • Keywords
    authorisation; face recognition; mobile computing; principal component analysis; face recognition; mobile users; password information; password integration; personal based authentication; principal component analysis; Artificial neural networks; Authentication; Cameras; Control systems; Face recognition; Hidden Markov models; Image recognition; Pattern recognition; Principal component analysis; Search engines; authentication; face recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Networked Computing and Advanced Information Management, 2008. NCM '08. Fourth International Conference on
  • Conference_Location
    Gyeongju
  • Print_ISBN
    978-0-7695-3322-3
  • Type

    conf

  • DOI
    10.1109/NCM.2008.167
  • Filename
    4624208