Resum
This paper presents a symbol spotting approach for indexing by content a database of line-drawing images. As line-drawings are digital-born documents designed by vectorial softwares, instead of using a pixel-based approach, we present a spotting method based on vector primitives. Graphical symbols are represented by a set of vectorial primitives which are described by an off-the-shelf shape descriptor. A relational indexing strategy aims to retrieve symbol locations into the target documents by using a combined numerical-relational description of 2D structures. The zones which are likely to contain the queried symbol are validated by a Hough-like voting scheme. In addition, a performance evaluation framework for symbol spotting in graphical documents is proposed. The presented methodology has been evaluated with a benchmarking set of architectural documents achieving good performance results. © 2009 Elsevier B.V. All rights reserved.
Idioma original | Anglès |
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Pàgines (de-a) | 188-201 |
Revista | Pattern Recognition Letters |
Volum | 31 |
Número | 3 |
DOIs | |
Estat de la publicació | Publicada - 1 de febr. 2010 |