TY - JOUR AU - Marçal Rusiñol AU - Agnes Borras AU - Josep Llados PY - 2010// TI - Relational Indexing of Vectorial Primitives for Symbol Spotting in Line-Drawing Images T2 - PRL JO - Pattern Recognition Letters SP - 188–201 VL - 31 IS - 3 PB - Elsevier KW - Document image analysis and recognition KW - Graphics recognition KW - Symbol spotting KW - Vectorial representations KW - Line-drawings N2 - 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. UR - http://dx.doi.org/10.1016/j.patrec.2009.10.002 N1 - DAG ID - Marçal Rusiñol2010 ER -