A novel approach for graphics recognition based on Galois lattice and bag of words representation

Amani Boumaiza*, Salvatore Tabbone

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

Abstract

This paper presents a new approach for graphical symbols recognition by combining a concept lattice with a bag of words representation. Visual words define the properties of a graphical symbol that will be modeled in the Galois Lattice. The algorithm of classification is based on the Galois lattice where intentions of its concepts are visual words. The words as visual primitives allow to evaluate the classifier with a symbolic approach that no longer need a signature discretization step to build the Galois Lattice. Our approach is compared to classical approaches on different graphical symbols and we show the relevance and the robustness of our proposal for the classification task.

Original languageEnglish
Title of host publicationProceedings - 11th International Conference on Document Analysis and Recognition, ICDAR 2011
Pages829-833
Number of pages5
DOIs
Publication statusPublished - 2011
Externally publishedYes
Event11th International Conference on Document Analysis and Recognition, ICDAR 2011 - Beijing, China
Duration: 18 Sept 201121 Sept 2011

Publication series

NameProceedings of the International Conference on Document Analysis and Recognition, ICDAR
ISSN (Print)1520-5363

Conference

Conference11th International Conference on Document Analysis and Recognition, ICDAR 2011
Country/TerritoryChina
CityBeijing
Period18/09/1121/09/11

Keywords

  • Bag of Features
  • Concept Lattices
  • Graphics Recognition
  • Local Descriptors
  • Shape descriptors
  • Symbol Classification
  • Visual words

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