• DocumentCode
    1936246
  • Title

    Iris structure acquisition method

  • Author

    Grabowski, Kamil ; Sankowski, Wojciech ; Zubert, Mariusz ; Napieralska, Malgorzata

  • Author_Institution
    Dept. of Microelectron. & Comput. Sci., Tech. Univ. of Lodz, Lodz, Poland
  • fYear
    2009
  • fDate
    25-27 June 2009
  • Firstpage
    640
  • Lastpage
    643
  • Abstract
    Iris recognition is accepted as one of the best biometric methods. The extraction of a unique iris signature still remains impossible due to uncertainty of results in commonly used feature extraction methods. As a result of previous research, iris structure analysis was chosen as the best method for human identification based on iris pattern, in opposite to classical wavelet texture analysis methods. The first step of this procedure is the acquisition of iris structure. In this paper, a new approach regarding human iris image acquisition is presented, which allows the extraction of a structural model, i.e., the placement of iris muscles and caverns as well as their shape changes.
  • Keywords
    biometrics (access control); feature extraction; image recognition; biometric method; classical wavelet texture analysis method; feature extraction; human iris image acquisition; iris recognition; iris structure acquisition method; Biometrics; Feature extraction; Humans; Image texture analysis; Iris recognition; Muscles; Pattern analysis; Shape; Uncertainty; Wavelet analysis; biometry; iris identification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mixed Design of Integrated Circuits & Systems, 2009. MIXDES '09. MIXDES-16th International Conference
  • Conference_Location
    Lodz
  • Print_ISBN
    978-1-4244-4798-5
  • Electronic_ISBN
    978-83-928756-1-1
  • Type

    conf

  • Filename
    5289607