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. © 2009 Elsevier B.V. All rights reserved.
| Original language | English |
|---|---|
| Pages (from-to) | 188-201 |
| Journal | Pattern Recognition Letters |
| Volume | 31 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - 1 Feb 2010 |
Keywords
- Document image analysis and recognition
- Graphics recognition
- Line-drawings
- Symbol spotting
- Vectorial representations