1st International ICST Workshop on Data Hiding for Information and Multimedia Security

Research Article

Structural Digital Signature and Semi-Fragile Fingerprinting for Image Authentication in Wavelet Domain

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1109/IAS.2007.46,
    author={Yan  Zhu and Chang-Tsun Li and Hong-Jia  Zhao},
    title={Structural Digital Signature and Semi-Fragile Fingerprinting for Image Authentication in Wavelet Domain},
    proceedings={1st International  ICST Workshop on Data Hiding for Information and Multimedia Security},
    publisher={IEEE},
    proceedings_a={DHIM},
    year={2007},
    month={9},
    keywords={Authentication  Computer science  Data mining  Digital signatures  Fingerprint recognition  Image coding  Information security  Quantization  Watermarking  Wavelet domain},
    doi={10.1109/IAS.2007.46}
}
  • Yan Zhu
    Chang-Tsun Li
    Hong-Jia Zhao
    Year: 2007
    Structural Digital Signature and Semi-Fragile Fingerprinting for Image Authentication in Wavelet Domain
    DHIM
    IEEE
    DOI: 10.1109/IAS.2007.46
Yan Zhu1,*, Chang-Tsun Li2,*, Hong-Jia Zhao1
  • 1: Institute of Computer Science and Technology Peking University, 100871, Beijing, China
  • 2: Department of Computer Science, University of Warwick, Coventry CV4 7AL, UK
*Contact email: zhuyan@icst.pku.edu.cn, ctli@dcs.warwick.ac.uk

Abstract

In this paper, a novel semi-fragile authentication scheme based on block-mean quantization in the wavelet domain is proposed for image authentication. The scheme is composed of a structural digital signature process and a semi-fragile watermarking/fingerprinting algorithm. In the signature process, the invariants are extracted as authentication codes from the quantization relationships and hierarchy information of discrete wavelet decomposition. The authentication codes consist of inter-block and intra-block codes in order to detect and localize tampering. The semi-fragile fingerprinting algorithm is intended to embed the signature via the use of block-mean quantization. The proposed scheme can effectively detect and localize the malicious modification while tolerating lossy compression.

Keywords
Authentication Computer science Data mining Digital signatures Fingerprint recognition Image coding Information security Quantization Watermarking Wavelet domain
Published
10th Sep 2007
Publisher
IEEE
Modified
3rd Aug 2011
http://dx.doi.org/10.1109/IAS.2007.46
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