PT Unknown
AU Muhammad Muzzamil Luqman
   Thierry Brouard
   Jean-Yves Ramel
   Josep Llados
TI A Content Spotting System For Line Drawing Graphic Document Images
BT 20th International Conference on Pattern Recognition
PY 2010
BP 3420–3423
VL 20
DI 10.1109/ICPR.2010.835
AB We present a content spotting system for line drawing graphic document images. The proposed system is sufficiently domain independent and takes the keyword based information retrieval for graphic documents, one step forward, to Query By Example (QBE) and focused retrieval. During offline learning mode: we vectorize the documents in the repository, represent them by attributed relational graphs, extract regions of interest (ROIs) from them, convert each ROI to a fuzzy structural signature, cluster similar signatures to form ROI classes and build an index for the repository. During online querying mode: a Bayesian network classifier recognizes the ROIs in the query image and the corresponding documents are fetched by looking up in the repository index. Experimental results are presented for synthetic images of architectural and electronic documents.
ER