%0 Conference Proceedings
%T Vers une approche foue of encapsulation de graphes: application a la reconnaissance de symboles
%A Muhammad Muzzamil Luqman
%A Thierry Brouard
%A Jean-Yves Ramel
%A Josep Llados
%B Colloque International Francophone sur l'Écrit et le Document
%D 2010
%F Muhammad Muzzamil Luqman2010
%O DAG
%O exported from refbase (http://refbase.cvc.uab.es/show.php?record=1293), last updated on Mon, 15 May 2017 12:39:03 +0200
%X 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.
%K Fuzzy interval
%K Graph embedding
%K Bayesian network
%K Symbol recognition
%P 169-184