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Spatio-structural Symbol Description with Statistical Feature Add-on

Abstract : In this paper, we present a method for symbol description based on spatio-structural as well as statistical features of visual elementary parts called 'vocabulary'. The extracted vocabulary is first organised into different groups based on their types (e.g., circle, corner). This vocabulary is used as a basis for an Attributed Relational Graph (ARG) where spatial relational descriptors formalise the links between the types, labelled with global shape descriptors. The description is used to globally recognise structure by comparing the signatures. The method is experimentally validated in the context of electrical symbol recognition from wiring diagrams.
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https://hal.inria.fr/inria-00617296
Contributor : Santosh K.C. <>
Submitted on : Friday, August 26, 2011 - 5:58:46 PM
Last modification on : Friday, April 10, 2020 - 5:24:39 PM
Long-term archiving on: : Tuesday, November 13, 2012 - 9:30:30 AM

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  • HAL Id : inria-00617296, version 1

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Santosh K.C., Bart Lamiroy, Laurent Wendling. Spatio-structural Symbol Description with Statistical Feature Add-on. Workshop on Graphics RECognition (GREC), Sep 2011, Seoul, South Korea. ⟨inria-00617296⟩

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