Difference between revisions of "Publications:A neural network approach for multifont and size-independent recognition of ethiopic characters"
(Created page with "<div style='display: none'> == Do not edit this section == </div> {{PublicationSetupTemplate|Author=Yaregal Assabie, Josef Bigun |PID=239377 |Name=Assabie, Yaregal [yaas] (Hö...") |
|||
| Line 4: | Line 4: | ||
{{PublicationSetupTemplate|Author=Yaregal Assabie, Josef Bigun | {{PublicationSetupTemplate|Author=Yaregal Assabie, Josef Bigun | ||
|PID=239377 | |PID=239377 | ||
| − | |Name=Assabie, Yaregal | + | |Name=Assabie, Yaregal (yaas) (Högskolan i Halmstad (2804), Sektionen för Informationsvetenskap, Data– och Elektroteknik (IDE) (3905), Halmstad Embedded and Intelligent Systems Research (EIS) (3938));Bigun, Josef (josef) (Högskolan i Halmstad (2804), Sektionen för Informationsvetenskap, Data– och Elektroteknik (IDE) (3905), Halmstad Embedded and Intelligent Systems Research (EIS) (3938)) |
|Title=A neural network approach for multifont and size-independent recognition of ethiopic characters | |Title=A neural network approach for multifont and size-independent recognition of ethiopic characters | ||
|PublicationType=Conference Paper | |PublicationType=Conference Paper | ||
Latest revision as of 22:40, 30 September 2016
Property "Publisher" has a restricted application area and cannot be used as annotation property by a user. Property "Author" has a restricted application area and cannot be used as annotation property by a user. Property "Author" has a restricted application area and cannot be used as annotation property by a user.
| Title | A neural network approach for multifont and size-independent recognition of ethiopic characters |
|---|---|
| Author | |
| Year | 2007 |
| PublicationType | Conference Paper |
| Journal | |
| HostPublication | Progress in pattern recognition |
| Conference | International Workshop on Advances in Pattern Recognition (IWAPR), Loughborough Univ, Loughborough, England, 2007 |
| DOI | http://dx.doi.org/10.1007/978-1-84628-945-3_13 |
| Diva url | http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:239377 |
| Abstract | Artificial neural networks are one of the most commonly used tools for character recognition problems, and usually they take gray values of 2D character images as inputs. In this paper, we propose a novel neural network classifier whose input is ID string patterns generated from the spatial relationships of primitive structures of Ethiopiccharacters. The spatial relationships of primitives are modeled by a special tree structure from which a unique set of string patterns are generated for each character. Training theneural network with string patterns of different font types and styles enables the classifier to handle variations in font types, sizes, and styles. We use a pair of directional filters forextracting primitives and their spatial relationships. The robustness of the proposed recognition system is tested by real life documents and experimental results are reported. |
