Please use this identifier to cite or link to this item:
http://dx.doi.org/10.25673/4590Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Elzobi, Moftah M. | - |
| dc.contributor.other | Al-Hamadi, Ayoub | - |
| dc.contributor.other | Omar, Abbas | - |
| dc.date.accessioned | 2018-09-24T18:15:03Z | - |
| dc.date.available | 2018-09-24T18:15:03Z | - |
| dc.date.issued | 2017 | - |
| dc.identifier.uri | https://opendata.uni-halle.de//handle/1981185920/12291 | - |
| dc.identifier.uri | http://dx.doi.org/10.25673/4590 | - |
| dc.description.statementofresponsibility | von M. Sc. Moftah M. Elzobi | - |
| dc.format.extent | 1 Online-Ressource (PDF-Datei: xxvi, 182 Seiten, 30,24 MB) | - |
| dc.language.iso | eng | - |
| dc.publisher | Universitätsbibliothek | - |
| dc.publisher | Otto von Guericke University Library, Magdeburg, Germany | - |
| dc.subject.ddc | 006 | - |
| dc.title | Unconstrained recognition of offline Arabic handwriting using generative and discriminative classification models | - |
| dcterms.type | Hochschulschrift | - |
| dc.type | PhDThesis | - |
| dc.identifier.urn | urn:nbn:de:gbv:ma9:1-9594 | - |
| local.publisher.universityOrInstitution | Otto-von-Guericke-Universität Magdeburg | - |
| local.openaccess | true | - |
| Appears in Collections: | Fakultät für Elektrotechnik und Informationstechnik | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Elzobi_Thesis.pdf | 30.97 MB | Adobe PDF |  View/Open |