• DocumentCode
    1620668
  • Title

    Uncertainty in iris recognition based on texture analysis

  • Author

    Grabowski, Kamil ; Zubert, Mariusz ; Napieralska, Malgorzata ; Napieralski, Andrzej

  • Author_Institution
    Dept. of Microelectron. & Comput. Sci., Tech. Univ. of Lodz, Lodz, Poland
  • fYear
    2010
  • Firstpage
    587
  • Lastpage
    592
  • Abstract
    Iris recognition is accepted as one of the best biometric methods. Extraction of a unique iris signature still remains impossible due to uncertainty of results in commonly used feature extraction methods. In this paper some issues of uncertainty in iris recognition caused by textural analysis are discussed. Moreover, the impact of preprocessing algorithms and acquisition system is presented as well. On the basis of drawn conclusions, assumptions for a new approach to iris recognition are finally proposed.
  • Keywords
    feature extraction; image texture; iris recognition; biometric methods; feature extraction methods; iris recognition; texture analysis; Databases; Feature extraction; Filtering; Iris recognition; Wavelet analysis; Wavelet transforms; feature extraction; identifications of persons; image matching; image processing; pattern recognition; wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mixed Design of Integrated Circuits and Systems (MIXDES), 2010 Proceedings of the 17th International Conference
  • Conference_Location
    Warsaw
  • Print_ISBN
    978-1-4244-7011-2
  • Electronic_ISBN
    978-83-928756-4-2
  • Type

    conf

  • Filename
    5551643