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Image Fingerprinting Scheme for Print-and-Capture Model

  • Won-gyum Kim
  • Seon Hwa Lee
  • Yong-seok Seo
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4261)

Abstract

This paper addresses an image fingerprinting scheme for the print-to-capture model performed by a photo printer and digital camera. When capturing an image by a digital camera, various kinds of distortions such as noise, geometrical distortions, and lens distortions are applied slightly and simultaneously. In this paper, we consider several steps to extract fingerprints from the distorted image in print-and capture scenario. To embed ID into an image as a fingerprint, multi-bits embedding is applied. We embed 64 bits ID information as a fingerprint into spatial domain of color images. In order to restore a captured image from distortions a noise reduction filter is performed and a rectilinear tiling pattern is used as a template. To make the template a multi-bits fingerprint is embedded repeatedly like a tiling pattern into the spatial domain of the image. We show that the extracting is successful from the image captured by a digital camera through the experiment.

Keywords

Geometrical Distortion Wiener Filter Lens Distortion Collusion Attack Photo Printer 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Won-gyum Kim
    • 1
  • Seon Hwa Lee
    • 1
  • Yong-seok Seo
    • 1
  1. 1.Digital Contents Research DivisionElectronics and Telecommunication Research, Institute (ETRI)DaejonKorea

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