TY  - CONF
AU  - Muhammad Muzzamil Luqman
AU  - Thierry Brouard
AU  - Jean-Yves Ramel
AU  - Josep Llados
A2  - CIFED
PY  - 2010//
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
SP  - 169
EP  - 184
KW  - Fuzzy interval
KW  - Graph embedding
KW  - Bayesian network
KW  - Symbol recognition
N2  - 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.
N1  - DAG
ID  - Muhammad Muzzamil Luqman2010
ER  -