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Communication Dans Un Congrès Année : 2009

Inductive Logic Programming for Symbol Recognition

Résumé

In this paper, we make an attempt to use Inductive Logic Programming (ILP) to automatically learn non trivial de- scriptions of symbols, based on a formal description. This work is a first step in this direction and is rather a proof of concept, rather than a fully operational and robust frame- work. The overall goal of our approach is to express graphic symbols by a number of primitives that may be of any com- plexity (i.e. not necessarily just lines or points) and con- necting relationships that can be deduced from straightfor- ward state-of-the art image treatment and analysis tools. This representation is then used as an input to an ILP solver, in order to deduce non obvious characteristics that may lead to a more semantic related recognition process.
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Dates et versions

inria-00430927 , version 1 (10-11-2009)

Identifiants

Citer

Santosh K.C., Bart Lamiroy, Jean - Philippe Ropers. Inductive Logic Programming for Symbol Recognition. Tenth International Conference on Document Analysis and Recognition - ICDAR'2009, Computer Vision Center, Universitat Autònoma de Barcelona, Jul 2009, Barcelona, Spain. pp.1330 - 1334, ⟨10.1109/ICDAR.2009.166⟩. ⟨inria-00430927⟩
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