On-Line Recognition of Handwritten Symbols
IEEE Transactions on Pattern Analysis and Machine Intelligence
An automatic beautifier for drawings and illustrations
SIGGRAPH '85 Proceedings of the 12th annual conference on Computer graphics and interactive techniques
Symbol Recognition by Error-Tolerant Subgraph Matching between Region Adjacency Graphs
IEEE Transactions on Pattern Analysis and Machine Intelligence - Graph Algorithms and Computer Vision
Graphics-Based Retrieval of Color Image Databases Using Hand-Drawn Query Sketches
GREC '99 Selected Papers from the Third International Workshop on Graphics Recognition, Recent Advances
Engineering Drawing Database Retrieval Using Statistical Pattern Spotting Techniques
GREC '99 Selected Papers from the Third International Workshop on Graphics Recognition, Recent Advances
Sketch-Based User Interface for Inputting Graphic Objects on Small Screen Devices
GREC '01 Selected Papers from the Fourth International Workshop on Graphics Recognition Algorithms and Applications
Symbol Recognition: Current Advances and Perspectives
GREC '01 Selected Papers from the Fourth International Workshop on Graphics Recognition Algorithms and Applications
Paper augmented digital documents
Proceedings of the 16th annual ACM symposium on User interface software and technology
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Sketch Retrieval Based on Spatial Relations
CGIV '05 Proceedings of the International Conference on Computer Graphics, Imaging and Visualization
Symbol Recognition with Kernel Density Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence
Solving multiclass learning problems via error-correcting output codes
Journal of Artificial Intelligence Research
Combining geometry and domain knowledge to interpret hand-drawn diagrams
Computers and Graphics
Multi-class binary object categorization using Blurred shape models
CIARP'07 Proceedings of the Congress on pattern recognition 12th Iberoamerican conference on Progress in pattern recognition, image analysis and applications
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In the document analysis field, the recognition of handwriting symbols is a difficult task because of the distortions due to hand drawings and the different writer styles. In this paper, we propose the Blurred Shape Model to describe handwritten symbols, and the use of Adaboost in an Error Correcting Codes framework to deal with multi-class categorization handwriting problems. It is a robust approach tolerant to the distortions and variability typically found in handwritten documents. This approach has been evaluated with the public GREC2005 database and an architectural symbol database extracted from a sketching interface, reaching high recognition rates compared with the state-of-the-art approaches.