• DocumentCode
    2095553
  • Title

    Detection of Non-iris Region in the Iris Recognition

  • Author

    Luo, Zhongliang ; Lin, Tusheng

  • Author_Institution
    Sch. of Electron. & Inf., South China Univ. of Technol., Guangzhou, China
  • Volume
    2
  • fYear
    2008
  • fDate
    20-22 Dec. 2008
  • Firstpage
    45
  • Lastpage
    48
  • Abstract
    In view of iris disturbance of eyelid, eyelash and reflection spot affect the accuracy of iris recognition, a detection approach of non-iris region in the iris segment is proposed. Based on mathematical morphology knowledge, the proposed method uses the least squares combined with edge detection to determine eyelid occlusion, then, eyelash and reflection spot can be detected with threshold method. The experimental results show that this method may detect disturbance accurately and effectively, and can exclude it from the iris region, so that the effect to recognition can be suppressed in the iris segment. At the same time, it reduces the complexity of the algorithm greatly, which indicates that it is an effective and feasible method of non-iris region detection.
  • Keywords
    biometrics (access control); edge detection; least squares approximations; mathematical morphology; edge detection; eyelid occlusion; iris disturbance; iris recognition; least squares; mathematical morphology; noniris region detection; Biometrics; Eyelashes; Eyelids; Face recognition; Fingerprint recognition; Image edge detection; Iris recognition; Least squares methods; Reflection; Stability; detection; eyelash; eyelid; iris segmentation; least squares method; threshold method;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Computational Technology, 2008. ISCSCT '08. International Symposium on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-3746-7
  • Type

    conf

  • DOI
    10.1109/ISCSCT.2008.332
  • Filename
    4731568