Universitat Autònoma de Barcelona
We present in this paper a symbol recognition system for the graphic documents. This one is based on a contextual approach for symbol structural recognition exploiting an Object-Process Methodology. It uses a processing library composed of structural recognition processings and contextual evaluation processings. These processings allow our system to deal with the multi-representation of symbols. The different processings are controlled, in an automatic way, by an inference engine during the recognition process. The factual, strategic, and descriptive knowledge are structured according to an Object-Process Methodology of the considered recognition application. The representation of symbols are then adapted during the recognition process according to their classes. This original approach for knowledge structuring allows especially the strategic and descriptive knowledge combination which increases the recognition abilities of system. We present results of this system on the GREC2003 contest of symbol recognition.
Anglès
Symbol Recognition; Graph; Multi-Representation; Automatic Control of Processing; Context; Knowledge; Object-Process Methodology; Reconeixement de símbol; Gràfica; Multirepresentació; Control automàtic de processos; Contexte; Coneixement; Metodologia procés objecte; Reconocimiento de símbolo; Gráfica; Control automático de procesos; Contexto; Conocimiento; Metodología proceso objeto
ELCVIA. Electronic letters on computer vision and image analysis ; V. 5 n. 2 (2005) p. 16-29
open access
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