Graphic Symbol Recognition: An Overview
GREC '97 Selected Papers from the Second International Workshop on Graphics Recognition, Algorithms and Systems
Deformable Template Matching within a Bayesian Framework for Hand-Written Graphic Symbol Recognition
GREC '99 Selected Papers from the Third International Workshop on Graphics Recognition, Recent Advances
Symbol Recognition: Current Advances and Perspectives
GREC '01 Selected Papers from the Fourth International Workshop on Graphics Recognition Algorithms and Applications
ICAPR '01 Proceedings of the Second International Conference on Advances in Pattern Recognition
Sketched Symbol Recognition using Zernike Moments
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 1 - Volume 01
A New Vectorial Signature for Quick Symbol Indexing, Filtering and Recognition
ICDAR '07 Proceedings of the Ninth International Conference on Document Analysis and Recognition - Volume 01
Two Evolutionary Methods for Learning Bayesian Network Structures
Computational Intelligence and Security
On the Joint Use of a Structural Signature and a Galois Lattice Classifier for Symbol Recognition
Graphics Recognition. Recent Advances and New Opportunities
Building Synthetic Graphical Documents for Performance Evaluation
Graphics Recognition. Recent Advances and New Opportunities
Report on the Third Contest on Symbol Recognition
Graphics Recognition. Recent Advances and New Opportunities
Graphic Symbol Recognition Using Graph Based Signature and Bayesian Network Classifier
ICDAR '09 Proceedings of the 2009 10th International Conference on Document Analysis and Recognition
Fuzzy sets in pattern recognition and machine intelligence
Fuzzy Sets and Systems
GREC'05 Proceedings of the 6th international conference on Graphics Recognition: ten Years Review and Future Perspectives
Symbol spotting in technical drawings using vectorial signatures
GREC'05 Proceedings of the 6th international conference on Graphics Recognition: ten Years Review and Future Perspectives
Report on the second symbol recognition contest
GREC'05 Proceedings of the 6th international conference on Graphics Recognition: ten Years Review and Future Perspectives
Report on the symbol recognition and spotting contest
GREC'11 Proceedings of the 9th international conference on Graphics Recognition: new trends and challenges
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The motivation behind our work is to present a new methodology for symbol recognition. The proposed method employs a structural approach for representing visual associations in symbols and a statistical classifier for recognition. We vectorize a graphic symbol, encode its topological and geometrical information by an attributed relational graph and compute a signature from this structural graph. We have addressed the sensitivity of structural representations to noise, by using data adapted fuzzy intervals. The joint probability distribution of signatures is encoded by a Bayesian network, which serves as a mechanism for pruning irrelevant features and choosing a subset of interesting features from structural signatures of underlying symbol set. The Bayesian network is deployed in a supervised learning scenario for recognizing query symbols. The method has been evaluated for robustness against degradations & deformations on pre-segmented 2D linear architectural & electronic symbols from GREC databases, and for its recognition abilities on symbols with context noise i.e. cropped symbols.