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Author
Marçal Rusiñol; Agnes Borras; Josep Llados
Title
Relational Indexing of Vectorial Primitives for Symbol Spotting in Line-Drawing Images
Type
Journal Article
Year
2010
Publication
Pattern Recognition Letters
Abbreviated Journal
PRL
Volume
31
Issue
3
Pages
188–201
Keywords
Document image analysis and recognition, Graphics recognition, Symbol spotting ,Vectorial representations, Line-drawings
Abstract
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.
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Elsevier
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DAG
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no
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DAG @ dag @ RBL2010
Serial
1177
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