Empirical Performance Evaluation of Graphics Recognition Systems
IEEE Transactions on Pattern Analysis and Machine Intelligence
Shape Analysis and Classification: Theory and Practice
Shape Analysis and Classification: Theory and Practice
The Second International Graphics Recognition Contest - Raster to Vector Conversion: A Report
GREC '97 Selected Papers from the Second International Workshop on Graphics Recognition, Algorithms and Systems
Extended Summary of the Arc Segmentation Contest
GREC '01 Selected Papers from the Fourth International Workshop on Graphics Recognition Algorithms and Applications
Performance Evaluation of Line Drawing Recognition Systems
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 4
IEEE Transactions on Pattern Analysis and Machine Intelligence
Efficient Shape Matching Using Shape Contexts
IEEE Transactions on Pattern Analysis and Machine Intelligence
A general framework for the evaluation of symbol recognition methods
International Journal on Document Analysis and Recognition
Report on the second symbol recognition contest
GREC'05 Proceedings of the 6th international conference on Graphics Recognition: ten Years Review and Future Perspectives
A performance characterization algorithm for symbol localization
GREC'09 Proceedings of the 8th international conference on Graphics recognition: achievements, challenges, and evolution
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In this paper we propose a general framework for the characterization of shape descriptors and show its application to graphic symbols. The framework is based on the combination of several performance measures independent of the application. We have applied this framework using a standard set of descriptors and databases. We show how it can be used to characterize the properties of each descriptor for a given database.