• DocumentCode
    2244805
  • Title

    Anti-spoofing system for RFID access control combining with face recogntion

  • Author

    Jing, Bing-zhong ; Chan, Patrick P K ; Ng, Wing W Y ; Yeung, Daniel S.

  • Author_Institution
    Machine Learning & Cybern. Res. Center, Univ. of Technol., Guangzhou, China
  • Volume
    2
  • fYear
    2010
  • fDate
    11-14 July 2010
  • Firstpage
    698
  • Lastpage
    703
  • Abstract
    RFID has been widely adopted in access control as an identity identification technology. This system can be combined with the face recognition technique to avoid the RFID is used by unauthorized people. However, this approach also suffers a drawback that someone may try to deceive the security system by presenting a photo of the real card owner. In this paper, we propose a method ensuring that such kind of spoof can be rejected. After a frontal face has been detected, the facial object will be tracked by optical flow algorithm until a profile is detected. Experimental results show that the proposed mechanism can improve the validity of the access control system effectively.
  • Keywords
    authorisation; face recognition; image sequences; radiofrequency identification; RFID access control; antispoofing system; face recogntion; identity identification technology; optical flow algorithm; security system; Access control; Computer vision; Detectors; Face; Image motion analysis; Optical imaging; Radiofrequency identification; Face recognition; RFID; adaboost; optical flow;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics (ICMLC), 2010 International Conference on
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-1-4244-6526-2
  • Type

    conf

  • DOI
    10.1109/ICMLC.2010.5580562
  • Filename
    5580562