Abstract: This chapter concerns applications of dense correspondences to images of a very different nature than those considered in previous chapters. Rather than images of natural or man-made scenes and objects, here, we deal with images of texts. We present a novel, dense correspondence-based approach to text image analysis instead of the more traditional approach of analysis at the character level (e.g., existing optical character recognition methods) or word level (the so called word spotting approach). We focus on the challenging domain of historica...
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