Angle Minimization and Graph Analysis for text line segmentation in handwritten documents

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dc.contributor.authorSetitra, Insaf
dc.contributor.authorMeziane, Abdelkrim
dc.date.accessioned2018-07-04T06:49:03Z
dc.date.available2018-07-04T06:49:03Z
dc.date.issued2018-07-08
dc.description.abstractWe propose in this paper a novel approach for text line segmentation in handwritten documents. The approach is based on angle minimization and graph analysis for text lines extraction. We apply our approach on images of ICDAR 2013 Handwriting Segmentation Contest, and give details about its robustness against skew and text orientation. We compare the approach to relevant text line segmentation state of art methods, apply it to Algerian manuscripts and report relevant resultsfr_FR
dc.identifier.isrnISRN CERIST- DSISM/PR—18-00000005--dzfr_FR
dc.identifier.urihttp://dl.cerist.dz/handle/CERIST/923
dc.publisherCERIST
dc.relation.ispartofRapports de recherche internes
dc.relation.placeAlger
dc.structureSystèmes d'Information et Image en Santé S2ISfr_FR
dc.subjecttrackingfr_FR
dc.subjectconnected componentsfr_FR
dc.subjectangle minimizationfr_FR
dc.subjecthandwrittenfr_FR
dc.titleAngle Minimization and Graph Analysis for text line segmentation in handwritten documentsfr_FR
dc.typeTechnical Report
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