• DocumentCode
    2966893
  • Title

    Face Recognition Lock

  • Author

    Deng, Lawrence Y. ; Dong Liang Lee ; Yi-Jen Liu

  • fYear
    2013
  • fDate
    16-18 Dec. 2013
  • Firstpage
    1
  • Lastpage
    2
  • Abstract
    In recent years, more and more studies or industry products have conducted recognition to the physiological feature or behavioral expression which are peculiar to human body, and these techniques provide the optimum solution for the environment, which needs identity verification, access badges or high security. In this paper, by the skin color area segmentation and principal component analysis -PCA, the face images are transferred into important feature vectors as the key of encrypting the files, thus our system can judge the user´s permission of assessing the files according to the different facial features of each person.
  • Keywords
    face recognition; feature extraction; image colour analysis; principal component analysis; PCA; behavioral expression; face images; face recognition lock; facial features; feature vectors; human body; industry products; optimum solution; physiological feature; principal component analysis; skin color area segmentation; Colored noise; Encryption; Face; Face recognition; Image color analysis; Skin; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    IT Convergence and Security (ICITCS), 2013 International Conference on
  • Conference_Location
    Macao
  • Type

    conf

  • DOI
    10.1109/ICITCS.2013.6717833
  • Filename
    6717833