A Tracking Approach for Text Line Segmentation in Handwritten Documents

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dc.contributor.authorSetitra, Insaf
dc.date.accessioned2018-03-12T15:07:31Z
dc.date.available2018-03-12T15:07:31Z
dc.date.issued2017-02-24
dc.description.abstractTracking of objects in videos consists of giving a label to the same object moving in different frames. This labelling is performed by predicting position of the object given its set of features observed in previous frames. In this work, we apply the same rationale by considering each connected component in the manuscript as a moving object and to track it so that to minimize the distance and angle of of the connected component to its nearest neighbour. The approach was applied to images of ICDAR 2013 handwritten segmentation contest and proved to be robust against text orientation, size and writing script.fr_FR
dc.identifier.isbnISBN: 978-989-758-222-6fr_FR
dc.identifier.urihttp://dl.cerist.dz/handle/CERIST/917
dc.publisherSpringer / LNCS Series Bookfr_FR
dc.relation.ispartofseriesICPRAM 2017;
dc.relation.placePorto Portugalfr_FR
dc.structureIntégration des systèmes d'informationfr_FR
dc.subjectConnected Componentsfr_FR
dc.subjectAngle Minimizationfr_FR
dc.subjectSegmentationfr_FR
dc.subjectHandwrittenfr_FR
dc.titleA Tracking Approach for Text Line Segmentation in Handwritten Documentsfr_FR
dc.typeConference paper
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