Skip to Main content Skip to Navigation
Book sections

Spatio-structural Symbol Description with Statistical Feature Add-on

Abstract : In this paper, we present a method for symbol description based on both spatio-structural and statistical features computed on elementary visual parts, called 'vocabulary'. This extracted vocabulary is grouped by type (e.g., circle, corner ) and serves as a basis for an attributed relational graph where spatial relational descriptors formalise the links between the vertices, formed by these types, labelled with global shape descriptors. The obtained attributed relational graph description has interesting properties that allows it to be used efficiently for recognising structure and by comparing its attribute signatures. The method is experimentally validated in the context of electrical symbol recognition from wiring diagrams.
Complete list of metadatas

https://hal.inria.fr/hal-00789268
Contributor : Santosh K.C. <>
Submitted on : Sunday, February 17, 2013 - 8:05:08 PM
Last modification on : Friday, April 10, 2020 - 5:15:13 PM
Long-term archiving on: : Saturday, May 18, 2013 - 4:04:03 AM

File

17santosh.pdf
Files produced by the author(s)

Identifiers

Citation

Santosh K.C., Bart Lamiroy, Laurent Wendling. Spatio-structural Symbol Description with Statistical Feature Add-on. Young-Bin Kwon, Jean-Marc Ogier. Graphics Recognition. New Trends and Challenges, 7423, Springer-Verlag Berlin Heidelberg, pp.228-237, 2013, Lecture Notes in Computer Science, 978-3-642-36823-3 (Print) 978-3-642-36824-0 (Online). ⟨10.1007/978-3-642-36824-0_22⟩. ⟨hal-00789268⟩

Share

Metrics

Record views

522

Files downloads

836