Damageless digital watermarking by machine learning: A method of key generation for information extraction using artificial neural networks

Kensuke Naoe, Hideyasu Sasaki, Yoshiyasu Takefuji

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Soft computing in the area of information security is a promising field for the creation of intelligent solutions. This paper discusses a method for digital watermarking using artificial neural networks to realize secure copyright protection of visual information without any damage. The discussed watermark extraction keys and feature extraction keys identify the secure and unique hidden patterns for proper digital watermarks. In the experiments, we have shown that the proposed method is robust to high pass filtering and JPEG compression of visual information, only for those watermark extraction keys which were able to identify the proper hidden bit patterns from original visual information using corresponding feature extraction keys. The proposed method is to contribute to secure visual digital watermarking without damaging or losing any detailed data of visual information.

Original languageEnglish
Title of host publicationSoCPaR 2009 - Soft Computing and Pattern Recognition
Pages545-550
Number of pages6
DOIs
Publication statusPublished - 2009 Dec 1
EventInternational Conference on Soft Computing and Pattern Recognition, SoCPaR 2009 - Malacca, Malaysia
Duration: 2009 Dec 42009 Dec 7

Publication series

NameSoCPaR 2009 - Soft Computing and Pattern Recognition

Other

OtherInternational Conference on Soft Computing and Pattern Recognition, SoCPaR 2009
CountryMalaysia
CityMalacca
Period09/12/409/12/7

Keywords

  • Artificial neural networks
  • Digital rights management
  • Digital watermarking
  • Information hiding
  • Machine learning

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Vision and Pattern Recognition
  • Software

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  • Cite this

    Naoe, K., Sasaki, H., & Takefuji, Y. (2009). Damageless digital watermarking by machine learning: A method of key generation for information extraction using artificial neural networks. In SoCPaR 2009 - Soft Computing and Pattern Recognition (pp. 545-550). [5368676] (SoCPaR 2009 - Soft Computing and Pattern Recognition). https://doi.org/10.1109/SoCPaR.2009.109