• DocumentCode
    2402645
  • Title

    Digital watermarking and information hiding using wavelets, SLSB and Visual Cryptography method

  • Author

    Mathivadhani, D. ; Meena, C.

  • Author_Institution
    Dept. of Comput. Sci., Avinashilingam Univ. for Women, Coimbatore, India
  • fYear
    2010
  • fDate
    28-29 Dec. 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Watermarking technique is increasingly used in the protection of biometric data against accidental and intentional attacks. Biometric watermarking is a technique that creates a link between a human subject and the digital media by embedding biometric information into the digital object. Among the various biometrics, iris has gained more popularity in the authentication area. The reason behind their popularity is that they unique and hence can be used during personal identification. Another area is information hiding where secret messages are stored inside a message. In this paper, a novel hybrid method to hide an iris image and secret message into a cover image using Discrete Wavelet Transformation (DWT), SLSB (Selected Least Significant Bit) and Visual Cryptography (VC) is proposed. Results show that the recognition rate after dewatermarking is high and the proposed system can resist various attacks while maintaining the visual quality of the cover image and text message.
  • Keywords
    cryptography; data encapsulation; discrete wavelet transforms; iris recognition; message authentication; watermarking; SLSB; accidental attacks; authentication; biometric data protection; digital media; digital watermarking; discrete wavelet transformation; information hiding; intentional attacks; iris biometrics; personal identification; secret messages; selected least significant bit; text message; visual cryptography method; visual image quality; Authentication; Cryptography; Feature extraction; Iris; Iris recognition; Visualization; Watermarking; Biometric protection; Information Hiding; Least Significant Bit (LSB) Method; SLSB; Visual Cryptography; Wavelet Decomposition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Computing Research (ICCIC), 2010 IEEE International Conference on
  • Conference_Location
    Coimbatore
  • Print_ISBN
    978-1-4244-5965-0
  • Electronic_ISBN
    978-1-4244-5967-4
  • Type

    conf

  • DOI
    10.1109/ICCIC.2010.5705855
  • Filename
    5705855