• DocumentCode
    156463
  • Title

    Possibility theory based approach for iris recognition in biometric systems

  • Author

    Bellaaj, Majd ; Kallel, Imene Khanfir ; Masmoudi, Dorra Sellami

  • Author_Institution
    Eng. Nat. Sch. of Sfax, Univ. of Sfax, Sfax, Tunisia
  • fYear
    2014
  • fDate
    17-19 March 2014
  • Firstpage
    54
  • Lastpage
    58
  • Abstract
    Iris recognition could be among reliable means and useful features for advanced biometry technics. In this work, we propose an efficient and novel scheme of one biometric advanced tool using one single modality, i.e the iris, and based on the possibility theory. Such novel tool could easily encompass the variant forms of imperfections that could affect iris data, so reinforcing then the performance of the related recognition system. Accordingly, the use of the possibility theory could be so an attractive tool for modeling such data with its variant forms. Experimental results on identity verification show that the proposed system with possibility theory yields interesting results especially when imperfect biometric data was involved, and have satisfactory performance and robustness in terms of identification.
  • Keywords
    iris recognition; possibility theory; biometric systems; identity verification; iris recognition; possibility theory; single modality; Bioinformatics; Educational institutions; Fuzzy sets; Iris recognition; Possibility theory; Robustness; Uncertainty; chessboard distance; iris biometric system; possibility theory; probability intervals; probability-possibility transformation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Technologies for Signal and Image Processing (ATSIP), 2014 1st International Conference on
  • Conference_Location
    Sousse
  • Type

    conf

  • DOI
    10.1109/ATSIP.2014.6834657
  • Filename
    6834657