PT Unknown
AU Muhammad Muzzamil Luqman
   Thierry Brouard
   Jean-Yves Ramel
   Josep Llados
TI Vers une approche foue of encapsulation de graphes: application a la reconnaissance de symboles
BT Colloque International Francophone sur l'Écrit et le Document
PY 2010
BP 169
EP 184
DE Fuzzy interval; Graph embedding; Bayesian network; Symbol recognition
AB We present a new methodology for symbol recognition, by employing a structural approach for representing visual associations in symbols and a statistical classifier for recognition. A graphic symbol is vectorized, its topological and geometrical details are encoded by an attributed relational graph and a signature is computed for it. Data adapted fuzzy intervals have been introduced for addressing the sensitivity of structural representations to noise. The joint probability distribution of signatures is encoded by a Bayesian network, which serves as a mechanism for pruning irrelevant features and choosing a subset of interesting features from structural signatures of underlying symbol set, and is deployed in a supervised learning scenario for recognizing query symbols. Experimental results on pre-segmented 2D linear architectural and electronic symbols from GREC databases are presented.
ER