• DocumentCode
    548134
  • Title

    Real time eye state recognition

  • Author

    Dehnavi, M. ; Attarzadeh, N. ; Eshghi, Mohammad

  • fYear
    2011
  • fDate
    17-19 May 2011
  • Firstpage
    1
  • Lastpage
    1
  • Abstract
    Eye state recognition is one of the main stages of many image processing systems; such as driver drowsiness detection system. Driver drowsiness is one of the main causes for road accidents around the world. In these circumstances, the driver drowsiness detection can reduce accidents statistics. In this paper, a new algorithm is proposed to determine open or closed state for an eye, based on the difference between iris or pupil color and white area of the eye in open state. In the proposed method, the vertical projection is used to determine the eye state. The results show that the proposed algorithm has sufficient speed, accuracy, and less complexity, so it can be used in the real time.
  • Keywords
    eye; image recognition; iris recognition; road safety; closed state; driver drowsiness; image processing system; iris color; open state; pupil color; real time eye state recognition; Eye; drowsiness; iris; pupil; smoothing filter; vertical projection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Engineering (ICEE), 2011 19th Iranian Conference on
  • Conference_Location
    Tehran
  • Print_ISBN
    978-1-4577-0730-8
  • Type

    conf

  • Filename
    5956025