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Watermark location via back-lighting modelling and verso registration

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Abstract

We consider the location of paper watermarks in documents that present problems such as variable paper thickness, stain and other damage. Earlier work has shown success in exploiting a computational model of backlit image acquisition – here we enhance this approach by incorporating knowledge of surface verso features. Robustly removing recto features using established techniques, we present a registration approach that permits similarly robust removal of verso, leaving only features attributable to watermark, folds, chain lines and inconsistencies of paper manufacture. Experimental results illustrate the success of the approach.

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Acknowledgments

Thanks are due to the University of Leeds for making the manuscripts available online [16]. We also acknowledge the interest and support of Prof. Roger Boyle and Dr. Kia Ng (Interdisciplinary Centre for Scientific Research in Music, University of Leeds).

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Authors and Affiliations

  1. The University of Jordan, Amman, 11942, Jordan

    Jamal Said & Hazem Hiary

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  1. Jamal Said
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  2. Hazem Hiary
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Correspondence to Hazem Hiary.

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Said, J., Hiary, H. Watermark location via back-lighting modelling and verso registration. Multimed Tools Appl 75, 5673–5688 (2016). https://doi.org/10.1007/s11042-015-2532-6

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