ATHENA: Automatic Text Height ExtractioN for the Analysis of old handwritten manuscripts

dc.contributor.authorPintus, Ruggeroen_US
dc.contributor.authorYang, Yingen_US
dc.contributor.authorRushmeier, Hollyen_US
dc.contributor.editor-en_US
dc.date.accessioned2015-04-27T14:59:18Z
dc.date.available2015-04-27T14:59:18Z
dc.date.issued2013en_US
dc.description.abstractA massive digital acquisition of huge sets of deteriorating historical documents is mandatory due to their value and delicacy. The study and the browsing of such digital libraries is becoming crucial for scholars in the Cultural Heritage field, but it requires automatic tools for analyzing and indexing those dataset items. We present here a layout analysis method to perform automatic text height estimation, without the need of any kind of manual intervention and user defined parameters. It proves to be a robust technique in the case of very noisy and damaged handwritten manuscripts. The effectiveness of the method is demonstrated on a huge heterogeneous corpus of medieval manuscripts, with different writing styles, and affected by other uncontrollable factors, such as ink bleed-through, background noise, and overtyping text lines.en_US
dc.description.sectionheadersTrack 3, Full Papersen_US
dc.description.seriesinformationDigital Heritage International Congressen_US
dc.identifier.doi10.1109/DigitalHeritage.2013.6743802en_US
dc.identifier.urihttps://doi.org/10.1109/DigitalHeritage.2013.6743802en_US
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1109/DigitalHeritage
dc.publisherThe Eurographics Associationen_US
dc.subject{Correlationen_US
dc.subjectDiscrete Fourier transformsen_US
dc.subjectEstimationen_US
dc.subjectImage edge detectionen_US
dc.subjectIndexesen_US
dc.subjectLayouten_US
dc.subjectRobustness}en_US
dc.titleATHENA: Automatic Text Height ExtractioN for the Analysis of old handwritten manuscriptsen_US
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