• DocumentCode
    1587086
  • Title

    Authentication Using Fuzzy Vault Based on Iris Textures

  • Author

    Reddy, E. Srinivasa ; Babu, I. Ramesh

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Acharya Nagarjuna Univ., Guntur
  • fYear
    2008
  • Firstpage
    361
  • Lastpage
    368
  • Abstract
    Crypto-biometrics is an emerging architecture where cryptography and biometrics are merged to achieve high level security systems. This paper explores the realization of cryptographic construction called fuzzy vault to store digital signature based on iris pseudo textures. Iris pseudo textures such as nodes and end points does not change through out the life period of user and can be used to extract minutiae to lock and unlock the fuzzy vault. The proposed algorithm aims to create a fuzzy vault to store secret key, based on iris pseudo textures. The algorithm has two phases: The first is to extract binary key (digital signature) from iris textures, and the second to generate fuzzy vault by using Lagrange interpolating polynomial projections, further which is projected by using data units extracted from iris minutiae.
  • Keywords
    biometrics (access control); digital signatures; fuzzy set theory; image recognition; image texture; polynomial approximation; private key cryptography; Lagrange interpolating polynomial projection; binary key extraction; crypto-biometrics architecture; digital signature; fuzzy vault authentication; iris pseudo texture; secret key; Authentication; Bioinformatics; Biometrics; Computer science; Cryptography; Data mining; Digital signatures; Iris; Polynomials; Security; Keywords Crypto-biometric; area opening; chaff points; complexity accuracy factor.; dilating; eroding; fuzzy vault; polynomial projection; top hat; unlock complexity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Modeling & Simulation, 2008. AICMS 08. Second Asia International Conference on
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-0-7695-3136-6
  • Electronic_ISBN
    978-0-7695-3136-6
  • Type

    conf

  • DOI
    10.1109/AMS.2008.112
  • Filename
    4530503