A Survey of Methods and Strategies in Character Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Document Representation and Its Application to Page Decomposition
IEEE Transactions on Pattern Analysis and Machine Intelligence
A DCT-domain system for robust image watermarking
Signal Processing
Twenty Years of Document Image Analysis in PAMI
IEEE Transactions on Pattern Analysis and Machine Intelligence
Secure Steganographic Methods for Palette Images
IH '99 Proceedings of the Third International Workshop on Information Hiding
Optimum Decoding of Non-additive Full Frame DFT Watermarks
IH '99 Proceedings of the Third International Workshop on Information Hiding
Morphological text extraction from images
IEEE Transactions on Image Processing
A new decoder for the optimum recovery of nonadditive watermarks
IEEE Transactions on Image Processing
Improved wavelet-based watermarking through pixel-wise masking
IEEE Transactions on Image Processing
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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.