Feature-based watermark localization in digital capture systems

Vojtech Holub; Tomáš Filler

doi:10.1117/12.2038303

19 February 2014 Feature-based watermark localization in digital capture systems

Vojtech Holub, Tomáš Filler

Proceedings Volume 9028, Media Watermarking, Security, and Forensics 2014; 90280D (2014) https://doi.org/10.1117/12.2038303
Event: IS&T/SPIE Electronic Imaging, 2014, San Francisco, California, United States

Abstract

The “Internet of Things” is an appealing concept aiming to assign digital identity to both physical and digital everyday objects. One way of achieving this goal is to embed the identity in the object itself by using digital watermarking. In the case of printed physical objects, such as consumer packages, this identity can be later read from a digital image of the watermarked object taken by a camera. In many cases, the object might occupy only a small portion of the the image and an attempt to read the watermark payload from the whole image can lead to unnecessary processing. This paper proposes a statistical learning-based algorithm for localizing watermarked physical objects taken by a digital camera. The algorithm is specifically designed and tested on watermarked consumer packages read by an off-the-shelf barcode imaging scanner. By employing simple noise-sensitive features borrowed from blind image steganalysis and a linear classifier, we are able to estimate probabilities of watermark presence in every part of the image significantly faster than running a watermark detector. These probabilities are used to pinpoint areas that are recommended for further processing. We compare our adaptive approach with a system designed to read watermarks from a set of fixed locations and achieve significant savings in processing time while improving overall detector robustness.

Citation Download Citation

Vojtech Holub and Tomáš Filler "Feature-based watermark localization in digital capture systems", Proc. SPIE 9028, Media Watermarking, Security, and Forensics 2014, 90280D (19 February 2014); https://doi.org/10.1117/12.2038303

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