• DocumentCode
    3252453
  • Title

    Watermark generation from fingerprint features for digital right management control

  • Author

    Dutta, Malay Kishore ; Singh, Ashutosh ; Soni, K.M. ; Burget, Radim ; Riha, Kamil

  • Author_Institution
    Amity Sch. of Eng. & Technol., Amity Univ., Noida, India
  • fYear
    2013
  • fDate
    2-4 July 2013
  • Firstpage
    717
  • Lastpage
    721
  • Abstract
    The conventional digital watermarking schemes uses an arbitrary digital pattern as the watermark which has limitations in proving ownership of the watermark. This paper proposes a proficient digital watermark generation technique from biometric data which will be unique and can be logically owned to prove ownership. The issue of ownership watermark is addressed in this paper. The biometric pattern of fingerprint is used to generate the digital watermark that has a stamp of ownership. The generated watermark has been studied for uniqueness and identification and has been used to watermark digital images. Discrete cosine transformation is used for embedding the watermark in the image. Experimental results indicate that the watermark can survive the signal processing attacks and maintain the perceptual properties of the host signal. The extracted biometric based watermark was uniquely identified under signal processing attacks by matching of the feature points.
  • Keywords
    biometrics (access control); discrete cosine transforms; fingerprint identification; image watermarking; arbitrary digital pattern; biometric data; digital right management control; digital watermark generation technique; digital watermarking schemes; discrete cosine transformation; extracted biometric based watermark; feature points; fingerprint biometric pattern; fingerprint features; host signal; perceptual properties; signal processing attacks; watermark digital images; Discrete cosine transforms; Feature extraction; Fingerprint recognition; Image matching; Robustness; Signal processing; Watermarking; Digital Watermarking; digital right management; fingerprint feature point extraction; robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Telecommunications and Signal Processing (TSP), 2013 36th International Conference on
  • Conference_Location
    Rome
  • Print_ISBN
    978-1-4799-0402-0
  • Type

    conf

  • DOI
    10.1109/TSP.2013.6614031
  • Filename
    6614031