An open approach towards the benchmarking of table structure recognition systems
DAS '10 Proceedings of the 9th IAPR International Workshop on Document Analysis Systems
A performance characterization algorithm for symbol localization
GREC'09 Proceedings of the 8th international conference on Graphics recognition: achievements, challenges, and evolution
Optimal line and arc detection on run-length representations
GREC'05 Proceedings of the 6th international conference on Graphics Recognition: ten Years Review and Future Perspectives
Web-based chinese calligraphy retrieval and learning system
ICWL'05 Proceedings of the 4th international conference on Advances in Web-Based Learning
On benchmarking of invoice analysis systems
DAS'06 Proceedings of the 7th international conference on Document Analysis Systems
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Segmentation is a key step in many off-line handwriting recognition systems but, to date, there are almost no ground truth segmentation databases and no widely accepted and formally defined metrics for segmentation performance. This paper proposes a representation of segmentations and presegmentations in terms of color images. Such representations allow convenient interchange of ground truth and hypothesized segmentations in the form ofstandard image formats. The paper formally defines the notions of oversegmentation and undersegmentation in terms of the maximal bipartite match between corresponding pixels.It also defines a number of metrics that quantify the frequency and extent of events in handwriting like kerning, splitting, and merging of characters. It is hoped that these metrics and representations will find wider use in the community and serve as a basis for creating standard training and test databases of segmentation data.