• DocumentCode
    2401718
  • Title

    A CAPTCHA Implementation Based on Moving Objects Recognition Problem

  • Author

    Cui, Jing-Song ; Mei, Jing-Ting ; Zhang, Wu-Zhou ; Wang, Xia ; Zhang, Da

  • Author_Institution
    Sch. of Comput., Wuhan Univ., Wuhan, China
  • fYear
    2010
  • fDate
    7-9 May 2010
  • Firstpage
    1277
  • Lastpage
    1280
  • Abstract
    Nowadays, malicious computer programs have attempted to attack websites, greatly affecting their availability and security. CAPTCHA (Completely Automated Public Turing test to tell Computers and Human Apart) mechanism is an effectual method in solving this problem. The prevailing implementation of CAPTCHA is 2D still image verification code, however, the developing artificial intelligence and image recognition technologies make it possible for computer programs to pass through CAPTCHA´s test. In this paper, we propose a new CAPTCHA implementation, in the form of 3D animation and based on the weak point of computer vision. This new method could prevent attacks based on both image recognition and moving objects recognition in videos. Coupled with easy use for humans, it proves to be a kind of novel, safe and practical CAPTCHA.
  • Keywords
    Turing machines; Web sites; artificial intelligence; computer animation; computer vision; image motion analysis; object recognition; security of data; 2D still image verification code; 3D animation; CAPTCHA implementation; Web sites; artificial intelligence; completely automated public turing test to tell computers and human apart; computer vision; image recognition technology; malicious computer programs; moving objects recognition problem; Animation; Computer vision; Computers; Humans; Optical character recognition software; Pixel; Three dimensional displays; CAPTCHA; Moving objects recognition; Three-dimensional Animation; computer vision; image recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    E-Business and E-Government (ICEE), 2010 International Conference on
  • Conference_Location
    Guangzhou
  • Print_ISBN
    978-0-7695-3997-3
  • Type

    conf

  • DOI
    10.1109/ICEE.2010.326
  • Filename
    5590929