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Digital Camera Identification from Images – Estimating False Acceptance Probability

(Invited Paper)

  • Conference paper
Digital Watermarking (IWDW 2008)

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 5450))

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Abstract

Photo-response non-uniformity noise present in output signals of CCD and CMOS sensors has been used as fingerprint to uniquely identify the source digital camera that took the image. The same fingerprint can establish a link between images according to their common source. In this paper, we review the state-of-the-art identification method and discuss its practical issues. In the camera identification task, when formulated as a binary hypothesis test, a decision threshold is set on correlation between image noise and modulated fingerprint. The threshold determines the probability of two kinds of possible errors: false acceptance and missed detection. We will focus on estimation of the false acceptance probability that we wish to keep very low. A straightforward approach involves testing a large number of different camera fingerprints against one image or one camera fingerprint against many images from different sources. Such sampling of the correlation probability distribution is time consuming and expensive while extrapolation of the tails of the distribution is still not reliable. A novel approach is based on cross-correlation analysis and peak-to-correlation-energy ratio.

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Author information

Authors and Affiliations

  1. Dept. of Electrical and Computer Engineering, SUNY Binghamton, Binghamton, NY, 13902-6000, USA

    Miroslav Goljan

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  1. Miroslav Goljan
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Editor information

Editors and Affiliations

  1. Graduate School of Information Management & Security, CIST, Korea University, 136-701, Seoul, Korea

    Hyoung-Joong Kim

  2. Security Engineering Group, Technische Universität Darmstadt, Hochschulstr. 10, 64289, Darmstadt, Germany

    Stefan Katzenbeisser

  3. Faculty of Engineering and Physical Sciences, Department of Computing, University of Surrey, GU2 7XH, Guildford, Surrey, UK

    Anthony T. S. Ho

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© 2009 Springer-Verlag Berlin Heidelberg

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Goljan, M. (2009). Digital Camera Identification from Images – Estimating False Acceptance Probability. In: Kim, HJ., Katzenbeisser, S., Ho, A.T.S. (eds) Digital Watermarking. IWDW 2008. Lecture Notes in Computer Science, vol 5450. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04438-0_38

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  • DOI: https://doi.org/10.1007/978-3-642-04438-0_38

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04437-3

  • Online ISBN: 978-3-642-04438-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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