• DocumentCode
    2962055
  • Title

    Biometric data hiding: A 3 factor authentication approach to verify identity with a single image using steganography, encryption and matching

  • Author

    Agrawal, Nidhi ; Savvides, Marios

  • Author_Institution
    Carnegie Mellon Univ., Pittsburgh, PA, USA
  • fYear
    2009
  • fDate
    20-25 June 2009
  • Firstpage
    85
  • Lastpage
    92
  • Abstract
    Digital Steganography exploits the use of host data to hide a piece of information in such a way that it is imperceptible to a human observer. Its main objectives are imperceptibility, robustness and high payload. DCT Domain message embedding in Spread Spectrum Steganography describes a novel method of using redundancy in DCT coefficients. We improved upon the method of DCT embedding by using the sign of the DCT coefficients to get better accuracy of retrieved data and more robustness under channel attacks like channel noise and JPEG compression artifacts while maintaining the visual imperceptibility of cover image, and even extending the method further to obtain higher payloads. We also apply this method for secure biometric data hiding, transmission and recovery. We hide iris code templates and fingerprints in the host image which can be any arbitrary image, such as face biometric modality and transmit the so formed imperceptible Stego-Image securely and robustly for authentication, and yet obtain perfect reconstruction and classification of iris codes and retrieval of fingerprints at the receiving end without any knowledge of the cover image i.e. a blind method of steganography, which in this case is used to hide biometric template in another biometric modality.
  • Keywords
    biometrics (access control); discrete cosine transforms; image classification; image coding; image matching; image reconstruction; steganography; 3 factor authentication approach; biometric data hiding; digital steganography; discrete cosine transform; fingerprint retrieval; identity verification; image encryption; image matching; iris code classification; iris code reconstruction; spread spectrum steganography; Authentication; Bioinformatics; Biometrics; Discrete cosine transforms; Identity-based encryption; Image retrieval; Iris; Payloads; Robustness; Steganography; Biometrics; DCT; Steganography; Stego-Image; iris code templates;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition Workshops, 2009. CVPR Workshops 2009. IEEE Computer Society Conference on
  • Conference_Location
    Miami, FL
  • ISSN
    2160-7508
  • Print_ISBN
    978-1-4244-3994-2
  • Type

    conf

  • DOI
    10.1109/CVPRW.2009.5204308
  • Filename
    5204308