Please use this identifier to cite or link to this item: http://dx.doi.org/10.25673/4590
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dc.contributor.authorElzobi, Moftah M.-
dc.contributor.otherAl-Hamadi, Ayoub-
dc.contributor.otherOmar, Abbas-
dc.date.accessioned2018-09-24T18:15:03Z-
dc.date.available2018-09-24T18:15:03Z-
dc.date.issued2017-
dc.identifier.urihttps://opendata.uni-halle.de//handle/1981185920/12291-
dc.identifier.urihttp://dx.doi.org/10.25673/4590-
dc.description.statementofresponsibilityvon M. Sc. Moftah M. Elzobi-
dc.format.extent1 Online-Ressource (PDF-Datei: xxvi, 182 Seiten, 30,24 MB)-
dc.language.isoeng-
dc.publisherUniversitätsbibliothek-
dc.publisherOtto von Guericke University Library, Magdeburg, Germany-
dc.subject.ddc006-
dc.titleUnconstrained recognition of offline Arabic handwriting using generative and discriminative classification models-
dcterms.typeHochschulschrift-
dc.typePhDThesis-
dc.identifier.urnurn:nbn:de:gbv:ma9:1-9594-
local.publisher.universityOrInstitutionOtto-von-Guericke-Universität Magdeburg-
local.openaccesstrue-
Appears in Collections:Fakultät für Elektrotechnik und Informationstechnik

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