Please use this identifier to cite or link to this item:
https://ptsldigital.ukm.my/jspui/handle/123456789/519112
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Ali Mohamed A. | - |
dc.date.accessioned | 2023-10-17T08:11:01Z | - |
dc.date.available | 2023-10-17T08:11:01Z | - |
dc.date.issued | 2005 | - |
dc.identifier.other | ukmvital:297 | - |
dc.identifier.uri | https://ptsldigital.ukm.my/jspui/handle/123456789/519112 | - |
dc.language.iso | eng | - |
dc.publisher | UKM, Bangi | - |
dc.relation | Faculty of Engineering and Built Environment / Fakulti Kejuruteraan dan Alam Bina | - |
dc.rights | UKM | - |
dc.subject | Arabic character sets (Data processing) | - |
dc.subject | Character sets (Data processing) | - |
dc.title | Offline Arabic handwritten characters recognition using learning vector quantization network | - |
dc.type | theses | - |
dc.identifier.callno | Z699.35.C48 A55 2005 | - |
Appears in Collections: | Faculty of Engineering and Built Environment / Fakulti Kejuruteraan dan Alam Bina |
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.