Symbol recognition using a concept lattice of graphical patterns

Authors:
Marçal Rusiñol;Karell Bertet;Jean-Marc Ogier;Josep Lladós
Affiliations:
Computer Vision Center, Dept. Ciències de la Computació, Bellaterra, Spain;L3I, University of La Rochelle, La Rochelle Cédex 1, France;L3I, University of La Rochelle, La Rochelle Cédex 1, France;Computer Vision Center, Dept. Ciències de la Computació, Bellaterra, Spain
Venue:
GREC'09 Proceedings of the 8th international conference on Graphics recognition: achievements, challenges, and evolution
Year:
2009

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Abstract

In this paper we propose a new approach to recognize symbols by the use of a concept lattice. We propose to build a concept lattice in terms of graphical patterns. Each model symbol is decomposed in a set of composing graphical patterns taken as primitives. Each one of these primitives is described by boundary moment invariants. The obtained concept lattice relates which symbolic patterns compose a given graphical symbol. A Hasse diagram is derived from the context and is used to recognize symbols affected by noise. We present some preliminary results over a variation of the dataset of symbols from the GREC 2005 symbol recognition contest.