• DocumentCode
    134588
  • Title

    Automatic registration of user drawn graphical passwords

  • Author

    Jebriel, Salem ; Poet, Ron

  • Author_Institution
    Sch. of Comput. Sci., Univ. of Glasgow, Glasgow, UK
  • fYear
    2014
  • fDate
    26-27 March 2014
  • Firstpage
    172
  • Lastpage
    177
  • Abstract
    This paper reports on a recognition based graphical authentication system where the users provide their pass images as simple drawings. Previous such systems have relied on a human administrator to register the images with the system, which limits their scale. We have replaced the administrator with software that both guides the user through the registration process and then automatically corrects any errors in the image files submitted to the system. We also investigate two ways of implementing these systems, by drawing on paper and scanning in the images, and using a computer paint program to create the images. We conducted a user study with 40 effective users. Our software was able to correct all the errors made by the users, extracting usable images in all cases. We also found that our users strongly preferred using the paint system to the system that required the use of a scanner. This research has implications for authentication with mobile phones, where the camera can replace the scanner and finger drawing apps replace the paint program..
  • Keywords
    authorisation; handwritten character recognition; image recognition; image registration; mobile computing; authentication; automatic registration; finger drawing apps; image files; mobile phones; paint system; pass images; recognition based graphical authentication system; scanner; usable images; user drawn graphical passwords; Authentication; Educational institutions; Image recognition; Paints; Registers; Software; graphical authentication; user drawn image passwords;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Information Technology (CSIT), 2014 6th International Conference on
  • Conference_Location
    Amman
  • Print_ISBN
    978-1-4799-3998-5
  • Type

    conf

  • DOI
    10.1109/CSIT.2014.6805997
  • Filename
    6805997