Relational indexing of vectorial primitives for symbol spotting in line-drawing images
Pattern Recognition Letters
A performance characterization algorithm for symbol localization
GREC'09 Proceedings of the 8th international conference on Graphics recognition: achievements, challenges, and evolution
A symbol spotting approach in graphical documents by hashing serialized graphs
Pattern Recognition
Hierarchical graph representation for symbol spotting in graphical document images
SSPR'12/SPR'12 Proceedings of the 2012 Joint IAPR international conference on Structural, Syntactic, and Statistical Pattern Recognition
GREC'11 Proceedings of the 9th international conference on Graphics Recognition: new trends and challenges
Report on the symbol recognition and spotting contest
GREC'11 Proceedings of the 9th international conference on Graphics Recognition: new trends and challenges
Bag-of-GraphPaths descriptors for symbol recognition and spotting in line drawings
GREC'11 Proceedings of the 9th international conference on Graphics Recognition: new trends and challenges
Accurate junction detection and characterization in line-drawing images
Pattern Recognition
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Symbol spotting systems are intended to retrieve regions of interest from a document image database where the queried symbol is likely to be found. They shall have the ability to recognize and locate graphical symbols in a single step. In this paper, we present a set of measures to evaluate the performance of a symbol spotting system in terms of recognition abilities, location accuracy and scalability. We show that the proposed measures allow to determine the weaknesses and strengths of different methods. In particular we have tested a symbol spotting method based on a set of four different off-the-shelf shape descriptors.