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Enhancement of Method for Preventing Unauthorized Copying of Displayed Information Using Object Surface Reflection

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The International Workshop on Digital Forensics and Watermarking 2012 (IWDW 2012)

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 7809))

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Abstract

A enhancement is described for a previously proposed method for preventing unauthorized copying of information shown on a display [1]. Our previously proposed method utilizes the difference in spectral sensitivity between humans and imaging devices. A near-infrared light source is used to create noise added to the entire display area in only the photographic image without affecting the viewer’s perception. Unauthorized copying of displayed information can thus be prevented without adding a new function to digital cameras. However, it is not effective against cameras equipped with a short wavelength pass filter (SWPF) to eliminate the noise. We propose a countermeasure that makes it effective against such filters. A countermeasure was established in which the near-IR rays reflected off the filter are detected by using the IR object surface reflection of the filter with four IR camcorders placed at end of the display. The proposed enhancement was implemented on a prototype illegal recording prevention unit installed on a 17-inch liquid crystal display. Testing showed that, with this enhancement, the unit can effectively detect a digital camera with an attached SWPF.

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© 2013 Springer-Verlag Berlin Heidelberg

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Yamada, T., Gohshi, S., Echizen, I. (2013). Enhancement of Method for Preventing Unauthorized Copying of Displayed Information Using Object Surface Reflection. In: Shi, Y.Q., Kim, HJ., Pérez-González, F. (eds) The International Workshop on Digital Forensics and Watermarking 2012. IWDW 2012. Lecture Notes in Computer Science, vol 7809. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40099-5_16

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  • DOI: https://doi.org/10.1007/978-3-642-40099-5_16

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-40098-8

  • Online ISBN: 978-3-642-40099-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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