• DocumentCode
    579784
  • Title

    An Experimental Study of Ensemble Systems on Cancellable Iris

  • Author

    Pintro, Fernando ; Canuto, A.M.P.

  • Author_Institution
    Inf. & Appl. Math. Dept., Fed. Univ. of Rio Grande do Norte, Rio Grande, Brazil
  • fYear
    2012
  • fDate
    20-25 Oct. 2012
  • Firstpage
    202
  • Lastpage
    207
  • Abstract
    This paper presents an analysis of applying ensemble systems in revocable biometric recognition. Biometric-based systems are the eminent future of the identification techniques and users access control. However, there is still much progress to be done in this field, specially related to systems security. One alternative to the security problem in biometric data is a technique known as cancellable biometrics. This technique consists of applying a transformation on the biometric data in order to protect the original characteristics. This work aims to investigate the use of ensembles systems in the recognition of cancellable biometrics in Iris data. The main goal is to analyse the advantages that the use of cancellable transformation functions may bring to biometric identification systems.
  • Keywords
    authorisation; iris recognition; access control; biometric data transformation; biometric identification systems; biometric-based systems; cancellable biometric recognition; cancellable iris; cancellable transformation functions; ensemble systems; identification techniques; systems security problem; Accuracy; Bioinformatics; Biological system modeling; Interpolation; Iris recognition; Security; Vectors; Cancellable iris; Ensemble systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks (SBRN), 2012 Brazilian Symposium on
  • Conference_Location
    Curitiba
  • ISSN
    1522-4899
  • Print_ISBN
    978-1-4673-2641-4
  • Type

    conf

  • DOI
    10.1109/SBRN.2012.32
  • Filename
    6374849