• DocumentCode
    2607602
  • Title

    A novel technique for automated red eye detection and correction

  • Author

    Kumar, Vinay ; Bhooshan, Sunil ; Sood, Ankita ; Shahi, Rahul ; Mendiratta, Shashank

  • Author_Institution
    Electron. & Commun. Eng. Dept., Jaypee Univ. of Inf. Technol., Waknaghat, India
  • fYear
    2009
  • fDate
    29-31 Oct. 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In this study we propose a new system to detect and correct red eye defect in images. The proposed system works in three phases namely face localization, eye localization and red eye removal. Face localization involves method for extracting face from the image. Eye localization locates eye in the face extracted. The red eye defect, if present, is automatically detected and corrected using a simple and straightforward approach.
  • Keywords
    eye; face recognition; feature extraction; image colour analysis; automated red eye detection; eye localization; face localization; feature extraction; red eye defect correction; red eye removal; Blood vessels; Cameras; Color; Eyes; Face detection; Information technology; Photography; Pixel; Signal processing; Skin;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information, Communication and Automation Technologies, 2009. ICAT 2009. XXII International Symposium on
  • Conference_Location
    Bosnia
  • Print_ISBN
    978-1-4244-4220-1
  • Electronic_ISBN
    978-1-4244-4221-8
  • Type

    conf

  • DOI
    10.1109/ICAT.2009.5348430
  • Filename
    5348430