Fuzzy Sets and Systems - Special issue on fuzzy methods for computer vision and pattern recognition
Human-based spatial relationship generalization through neural/fuzzy approaches
Fuzzy Sets and Systems
Symbol Recognition by Error-Tolerant Subgraph Matching between Region Adjacency Graphs
IEEE Transactions on Pattern Analysis and Machine Intelligence - Graph Algorithms and Computer Vision
Shape Matching and Object Recognition Using Shape Contexts
IEEE Transactions on Pattern Analysis and Machine Intelligence
Symbol Recognition: Current Advances and Perspectives
GREC '01 Selected Papers from the Fourth International Workshop on Graphics Recognition Algorithms and Applications
Stable, Robust and Off-the-Shelf Methods for Graphics Recognition
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 1 - Volume 1
A model for image generation and symbol recognition through the deformation of lineal shapes
Pattern Recognition Letters
Pattern Recognition Methods for Querying and Browsing Technical Documentation
CIARP '08 Proceedings of the 13th Iberoamerican congress on Pattern Recognition: Progress in Pattern Recognition, Image Analysis and Applications
Optimal Classifier Fusion in a Non-Bayesian Probabilistic Framework
IEEE Transactions on Pattern Analysis and Machine Intelligence
Inductive Logic Programming for Symbol Recognition
ICDAR '09 Proceedings of the 2009 10th International Conference on Document Analysis and Recognition
A new shape descriptor defined on the Radon transform
Computer Vision and Image Understanding
A Bayesian network for combining descriptors: application to symbol recognition
International Journal on Document Analysis and Recognition
Symbol recognition using spatial relations
Pattern Recognition Letters
Computing precision and recall with missing or uncertain ground truth
GREC'11 Proceedings of the 9th international conference on Graphics Recognition: new trends and challenges
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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.