• DocumentCode
    2483357
  • Title

    Tokenless Cancelable Biometrics Scheme for Protecting Iris Codes

  • Author

    Ouda, Osama ; Tsumura, N. ; Nakaguchi, Takao

  • Author_Institution
    Grad. Sch. of Adv. Integration Sci., Chiba Univ., Chiba, Japan
  • fYear
    2010
  • fDate
    23-26 Aug. 2010
  • Firstpage
    882
  • Lastpage
    885
  • Abstract
    In order to satisfy the requirements of the cancelable biometrics construct, cancelable biometrics techniques rely on other authentication factors such as password keys and/or user specific tokens in the transformation process. However, such multi-factor authentication techniques suffer from the same issues associated with traditional knowledge-based and token-based authentication systems. This paper presents a new one-factor cancelable biometrics scheme for protecting Iris Codes. The proposed method is based solely on Iris Codes; however, it satisfies the requirements of revocability, diversity and noninvertibility without deteriorating the recognition performance. Moreover, the transformation process is easy to implement and can be integrated simply with current iris matching systems. The impact of the proposed transformation process on the the recognition accuracy is discussed and its noninvertibility is analyzed. The effectiveness of the proposed method is confirmed experimentally using CASIA-IrisV3-Interval dataset.
  • Keywords
    authorisation; iris recognition; authentication factors; cancelable biometrics construct; iris codes; iris matching systems; knowledge-based authentication systems; multifactor authentication; password keys; recognition performance; token-based authentication systems; tokenless cancelable biometrics; transformation process; user specific tokens; Accuracy; Authentication; High definition video; Iris recognition; Measurement; Random sequences;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition (ICPR), 2010 20th International Conference on
  • Conference_Location
    Istanbul
  • ISSN
    1051-4651
  • Print_ISBN
    978-1-4244-7542-1
  • Type

    conf

  • DOI
    10.1109/ICPR.2010.222
  • Filename
    5596070