Abstract
We present a method (Text-Based Geometric
Normalization—TBGN) which, by exploiting the particular content of
cartographic images, namely text content, permits to cope with global
geometric transformations. First, text is extracted from the
to-be-marked map, then text orientation and size are exploited to
normalize the image geometry prior to watermark insertion.
Watermarking is performed by means of any of the existing algorithms
ensuring good robustness against image processing tools. At the
decoder side, text is extracted again from the map and used to
normalize image geometry. Owing to the robustness of text features
with respect to common image manipulations, and to the likely
spreading of text all across the digital map, the proposed system
exhibits an excellent robustness.