• DocumentCode
    2378234
  • Title

    An improved eye feature extraction algorithm based on deformable templates

  • Author

    Kuo, Paul ; Hannah, John

  • Author_Institution
    Inst. of Digital Commun., Edinburgh Univ., UK
  • Volume
    2
  • fYear
    2005
  • fDate
    11-14 Sept. 2005
  • Abstract
    In this paper, an improved method for eye extraction using deformable templates is proposed. This new method overcomes the shortcomings of traditional deformable template techniques for eye extraction, such as unexpected shrinking of the template and complexity of the updating procedure, while offering higher flexibility and accuracy A new size term and eye corner finder are introduced to prevent over-shrinking and improve speed and accuracy of fitting. The eye features are fitted in a pre-set order to reduce the complexity of the updating procedure and increase the flexibility. We demonstrate the success of this new method by extracting eye features in real images.
  • Keywords
    eye; feature extraction; deformable templates; eye corner finder; eye feature extraction algorithm; over-shrinking prevention; unexpected shrinking; Biometrics; Digital communication; Eyelids; Eyes; Face recognition; Feature extraction; Humans; Iris; Principal component analysis; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2005. ICIP 2005. IEEE International Conference on
  • Print_ISBN
    0-7803-9134-9
  • Type

    conf

  • DOI
    10.1109/ICIP.2005.1530278
  • Filename
    1530278