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Inductive Logic Programming for Symbol Recognition

Santosh K.C. 1 Bart Lamiroy 1 Jean - Philippe Ropers 1 
1 QGAR - Querying Graphics through Analysis and Recognition
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : 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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Submitted on : Tuesday, November 10, 2009 - 10:00:22 PM
Last modification on : Friday, February 4, 2022 - 3:10:53 AM
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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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