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

Kensuke Naoe; Hideyasu Sasaki; Yoshiyasu Takefuji

doi:10.1109/SoCPaR.2009.109

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

Kensuke Naoe, Hideyasu Sasaki, Yoshiyasu Takefuji

Faculty of Environment and Information Studies

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	SoCPaR 2009 - Soft Computing and Pattern Recognition
Pages	545-550
Number of pages	6
DOIs	https://doi.org/10.1109/SoCPaR.2009.109
Publication status	Published - 2009 Dec 1
Event	International Conference on Soft Computing and Pattern Recognition, SoCPaR 2009 - Malacca, Malaysia Duration: 2009 Dec 4 → 2009 Dec 7

Publication series

Name	SoCPaR 2009 - Soft Computing and Pattern Recognition

Other

Other	International Conference on Soft Computing and Pattern Recognition, SoCPaR 2009
Country	Malaysia
City	Malacca
Period	09/12/4 → 09/12/7

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

Access to Document

10.1109/SoCPaR.2009.109

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Damageless digital watermarking by machine learning : A method of key generation for information extraction using artificial neural networks. / Naoe, Kensuke; Sasaki, Hideyasu; Takefuji, Yoshiyasu.

SoCPaR 2009 - Soft Computing and Pattern Recognition. 2009. p. 545-550 5368676 (SoCPaR 2009 - Soft Computing and Pattern Recognition).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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., 5368676, SoCPaR 2009 - Soft Computing and Pattern Recognition, pp. 545-550, International Conference on Soft Computing and Pattern Recognition, SoCPaR 2009, Malacca, Malaysia, 09/12/4. https://doi.org/10.1109/SoCPaR.2009.109

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