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Compact and Robust Fingerprints Using DCT Coefficients of Key Blocks

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Pattern Recognition and Image Analysis (IbPRIA 2005)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 3523))

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Abstract

In this paper, we present a novel fingerprinting method for image authentication, the fingerprint length of which is very short (only 81 bytes) and independent on image sizes. First, we extract features based on the block DCT coefficients of images, and binarize the feature map to get key blocks. Then we apply Principal Components Analysis (PCA) to the DCT Coefficients of key blocks. Finally, we take the quantized eigenvector matrix (9×9) as fingerprints. Experimental results show that the proposed method is discriminative, robust against compression, and sensitive to malicious modifications.

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Authors and Affiliations

  1. Institute of Computing Technology, Chinese Academy of Sciences, 100080, Beijing, China

    Sheng Tang, Jin Tao Li & Yong Dong Zhang

  2. Graduate School of the Chinese Academy of Sciences, 100039, Beijing, China

    Sheng Tang

Authors
  1. Sheng Tang
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  2. Jin Tao Li
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  3. Yong Dong Zhang
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Editor information

Editors and Affiliations

  1. Instituto Superior Técnico & Instituto de Sistemas e Robótica,, 1049-001, Lisboa, Portugal

    Jorge S. Marques

  2. ETSI Informática y e Telecomunicación, University of Granada, 18071, Granada, Spain

    Nicolás Pérez de la Blanca

  3. Instituto Superior Técnico, CERENA-Centro de Recursos Naturais e Ambiente, Av. Rovisco Pais, 1049-001, Lisboa, Portugal

    Pedro Pina

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© 2005 Springer-Verlag Berlin Heidelberg

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Tang, S., Li, J.T., Zhang, Y.D. (2005). Compact and Robust Fingerprints Using DCT Coefficients of Key Blocks. In: Marques, J.S., Pérez de la Blanca, N., Pina, P. (eds) Pattern Recognition and Image Analysis. IbPRIA 2005. Lecture Notes in Computer Science, vol 3523. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11492542_64

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  • DOI: https://doi.org/10.1007/11492542_64

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-26154-4

  • Online ISBN: 978-3-540-32238-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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