• DocumentCode
    2970525
  • Title

    Embedding biometric watermark on document image using discrete wavelet transform

  • Author

    Lam, Ioi-Tun ; Pun, Chi-Man

  • Author_Institution
    Dept. of Comput. & Inf. Sci., Univ. of Macau, Macau, China
  • fYear
    2009
  • fDate
    22-24 June 2009
  • Firstpage
    583
  • Lastpage
    588
  • Abstract
    In respect to the issues on privacy, security and legal significance of a document, some sorts of security protections should be put on a document to ensure its genuineness and integrity. In this research, signatories´ biometric fingerprint in digital binary format as a watermark message will be embedded into a gray level document image by discrete wavelet transform. Experimental results show that the proposed method is quite robust to various attacks such as Gaussian white noise, JPEG compression and low-pass filters, and is successfully tested for embedding the fingerprint watermark message and extraction even if the watermarked document image has been attacked by some imitated interferences. In our prototype system, Discrete wavelet transform method can be applied to authenticate the genuine against signatories by comparing signatory´s fingerprint with the fingerprint watermark message extracted from the archived watermarked document image.
  • Keywords
    AWGN; data compression; discrete wavelet transforms; document image processing; fingerprint identification; image coding; low-pass filters; watermarking; Gaussian white noise; JPEG compression; biometric fingerprint; biometric watermark; digital binary format; discrete wavelet transform; gray level document image; low-pass filters; watermark message extraction; Biometrics; Discrete wavelet transforms; Fingerprint recognition; Law; Legal factors; Noise robustness; Privacy; Protection; Security; Watermarking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Automation, 2009. ICIA '09. International Conference on
  • Conference_Location
    Zhuhai, Macau
  • Print_ISBN
    978-1-4244-3607-1
  • Electronic_ISBN
    978-1-4244-3608-8
  • Type

    conf

  • DOI
    10.1109/ICINFA.2009.5204990
  • Filename
    5204990