Abstract
In this chapter, we present a method for spotting symbols in document images by using a photometric description of symbols. As a running example we present an application of logo spotting. The presented method uses a bag-of-words model in order to perform a categorization of document images such as invoices or receipts. The hypotheses validation is done in terms of spatial coherence by the use of a Hough-like voting scheme. Experiments which demonstrate the effectiveness of this system on a large set of real data are presented at the end of the chapter.
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Rusiñol, M., Lladós, J. (2010). Symbol Spotting for Document Categorization. In: Symbol Spotting in Digital Libraries. Springer, London. https://doi.org/10.1007/978-1-84996-208-7_3
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DOI: https://doi.org/10.1007/978-1-84996-208-7_3
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