Binarization of Degraded Historical Document Images

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dc.contributor.authorHadjadj, Zineb
dc.contributor.authorMeziane, Abdelkrim
dc.contributor.authorCheriet, Mohamed
dc.contributor.authorCherfa, Yazid
dc.date.accessioned2014-02-11T12:54:27Z
dc.date.available2014-02-11T12:54:27Z
dc.date.issued2014
dc.description.abstractOld document images often suffer from different types of degradation that render their binarization a challenging task. In this paper, a new binarization algorithm for degraded document images is presented. The method is based on active contours evolving according to intrinsic geometric measures of the document image; Niblack’s thresholding is also used to control the active contours propagation. The validity of the proposed method is demonstrated on both recent and historical document images including different types of degradations, the results are compared with a number of known techniques in the literaturefr_FR
dc.identifier.isrnCERIST-DSISM/RR--14-000000008--dz
dc.identifier.urihttp://dl.cerist.dz/handle/CERIST/609
dc.publisherCERIST
dc.relation.ispartofRapports de recherche internes
dc.relation.placeAlger
dc.subjectDocument image; binarization; active contours; level sets method; Niblack’s thresholding.fr_FR
dc.titleBinarization of Degraded Historical Document Imagesfr_FR
dc.typeTechnical Report
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