Using Error Recovery Techniques to Improve Sketch Recognition Accuracy
Graphics Recognition. Recent Advances and New Opportunities
Representing and Parsing Sketched Symbols Using Adjacency Grammars and a Grid-Directed Parser
Graphics Recognition. Recent Advances and New Opportunities
A complete descriptor of line-segment-pair for symbol recognition
Proceedings of the 2009 Computer Graphics International Conference
HBF49 feature set: A first unified baseline for online symbol recognition
Pattern Recognition
Automatic learning of symbol descriptions avoiding topological ambiguities
SBM'06 Proceedings of the Third Eurographics conference on Sketch-Based Interfaces and Modeling
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In this paper we present an innovative approach to automatically generate adjacency grammars describing graphical symbols. A grammar production is formulated in terms of rulesets of geometrical constraints among symbol primitives. Given a set of symbol instances sketched by a user using a digital pen, our approach infers the grammar productions consisting of the ruleset most likely to occur. The performance of our work is evaluated using a comprehensive benchmarking database of on-line symbols.