Implementation techniques for geometric branch-and-bound matching methods
Computer Vision and Image Understanding
IEEE Transactions on Pattern Analysis and Machine Intelligence
Symbol Recognition with Kernel Density Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence
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
Robust Invariant Descriptor for Symbol-Based Image Recognition and Retrieval
ICSC '07 Proceedings of the International Conference on Semantic Computing
On the Joint Use of a Structural Signature and a Galois Lattice Classifier for Symbol Recognition
Graphics Recognition. Recent Advances and New Opportunities
Spotting Symbols in Line Drawing Images Using Graph Representations
Graphics Recognition. Recent Advances and New Opportunities
A Symbol Spotting Approach Based on the Vector Model and a Visual Vocabulary
ICDAR '09 Proceedings of the 2009 10th International Conference on Document Analysis and Recognition
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
Symbol spotting in vectorized technical drawings through a lookup table of region strings
Pattern Analysis & Applications
Symbol Recognition Combining Vectorial and Pixel-Level Features for Line Drawings
ICPR '10 Proceedings of the 2010 20th International Conference on Pattern Recognition
Symbol recognition combining vectorial and statistical features
GREC'05 Proceedings of the 6th international conference on Graphics Recognition: ten Years Review and Future Perspectives
Adaptive noise reduction for engineering drawings based on primitives and noise assessment
GREC'05 Proceedings of the 6th international conference on Graphics Recognition: ten Years Review and Future Perspectives
Symbol recognition using bipartite transformation distance and angular distribution alignment
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
Spectra of shape contexts: An application to symbol recognition
Pattern Recognition
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Symbol recognition is important in many applications such as the automated interpretation of line drawings and retrieval-by-content search engines. This paper presents the use of geometric matching for symbol recognition under similarity transformations. We incorporate this matching approach in a complete symbol recognition/spotting system, which consists of denoising, symbol representation and recognition. The proposed system works for both isolated recognition and spotting symbols in context. For denoising, we use an adaptive preprocessing algorithm. For symbol representation, pixels and/or vectorial primitives can be used, then the recognition is done via geometric matching. When applied on the datasets of GREC'05 and GREC'11 symbol recognition contests, the system has performed significantly better than other statistical or structural methods.