• DocumentCode
    2904058
  • Title

    Iris Biometric Cryptography for Identity Document

  • Author

    Moi, Sim Hiew ; Rahim, Nazeema Binti Abdul ; Saad, Puteh ; Sim, Pang Li ; Zakaria, Zalmiyah ; Ibrahim, Subariah

  • Author_Institution
    Dept. of Software Eng., Univ. Teknol. Malaysia, Skudai, Malaysia
  • fYear
    2009
  • fDate
    4-7 Dec. 2009
  • Firstpage
    736
  • Lastpage
    741
  • Abstract
    Currently, it is noticed that users tend to choose shorter password as their authentication which can be easily attacked. Biometric technologies such as fingerprint scanning, voice authentication, face recognition, signature, hand geometry and iris recognition is now playing an important role especially in application related to security issue. In this work, we present an approach to generate a unique and more secure cryptographic key from iris template. The iris images are processed to produce iris template or code to be utilized for the encryption and decryption tasks. AES cryptography algorithm are employed to encrypt and decrypt the identity data. Distance metric such as hamming distance and Euclidean distance are used for the template matching identification process. Experimental results show that this system can obtain a higher security with a low false rejection or false acceptance rate.
  • Keywords
    biometrics (access control); digital signatures; face recognition; public key cryptography; AES cryptography algorithm; Euclidean distance; authentication; face recognition; false acceptance rate; false rejection; fingerprint scanning; hamming distance; hand geometry; identity document; iris biometric cryptography; iris recognition; iris template; secure cryptographic key; signature; template matching identification process; voice authentication; Authentication; Biometrics; Cryptography; Face recognition; Fingerprint recognition; Geometry; Hamming distance; Identity-based encryption; Iris recognition; Security; biometric; cryptography; decryption; encryption; iris;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Soft Computing and Pattern Recognition, 2009. SOCPAR '09. International Conference of
  • Conference_Location
    Malacca
  • Print_ISBN
    978-1-4244-5330-6
  • Electronic_ISBN
    978-0-7695-3879-2
  • Type

    conf

  • DOI
    10.1109/SoCPaR.2009.149
  • Filename
    5368674