• DocumentCode
    1606618
  • Title

    Image CAPTCHA: Based on human understanding of real world distances

  • Author

    Aadhirai, R. ; Kumar, P.J.S. ; Vishnupriya, S.

  • Author_Institution
    Dept. of Inf. Technol., S.A. Eng. Coll., Chennai, India
  • fYear
    2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    We propose a Completely Automated Public Turing Test to Tell Computers and Humans Apart scheme based on a human\´s understanding of real world objects and their relative distances. Solving this CAPTCHA involves answering about the relative distances of objects present in an image. What is subtle to humans may not be so to computing machines. As an object moves farther away from the point of perception, its size decreases. But equipped with only the information on size, a decision cannot be made on its position from the point of perception. The real world knowledge on the object dimensions is essential since both a big and small object near the perception point will appear big and cannot be differentiated. This ability of humans, aided with experience, is a unique feature and would thus serve to distinguish them from computers. The queries on the CAPTCHA may include - "who stands behind whom", "which is nearer" or "which is larger in real life".
  • Keywords
    object detection; optical character recognition; completely automated public turing test to tell computers and humans apart scheme; human understanding; image CAPTCHA; image processing technologies; object dimensions; objects presentation; optical character recognition; real world distances; Computers; Conferences; Databases; Image recognition; Object recognition; Proposals; edge interpretation; image CAPTCHA; perspective; relative CAPTCHA; relative position; relative size;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Human Computer Interaction (IHCI), 2012 4th International Conference on
  • Conference_Location
    Kharagpur
  • Print_ISBN
    978-1-4673-4367-1
  • Type

    conf

  • DOI
    10.1109/IHCI.2012.6481832
  • Filename
    6481832