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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier6qtX3pFwXQZeBBx/w4RP9
Repositorysid.inpe.br/banon/2002/11.05.11.03
Last Update2002:11.04.02.00.00 (UTC) administrator
Metadata Repositorysid.inpe.br/banon/2002/11.05.11.03.13
Metadata Last Update2022:06.14.00.12.02 (UTC) administrator
DOI10.1109/SIBGRA.2000.883896
Citation KeyOliveiraLethBortSabo:2000:HaDiSe
TitleHandwritten digits segmentation based on structural approach
Year2000
Access Date2024, May 04
Number of Files1
Size455 KiB
2. Context
Author1 Oliveira, Luiz E. Soares
2 Lethelier, Edouard
3 Bortolozzi, Flávio
4 Sabourin, Robert
EditorCarvalho, Paulo Cezar Pinto
Walter, Marcelo
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 13 (SIBGRAPI)
Conference LocationGramado, RS, Brazil
Date17-20 Oct. 2000
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Pages67-73
Book TitleProceedings
Tertiary TypeFull Paper
OrganizationSBC - Brazilian Computer Society
History (UTC)2008-07-17 14:10:49 :: administrator -> banon ::
2008-08-26 15:23:01 :: banon -> administrator ::
2009-08-13 20:36:52 :: administrator -> banon ::
2010-08-28 20:00:09 :: banon -> administrator ::
2022-06-14 00:12:02 :: administrator -> :: 2000
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
Keywordshandwritten character recognition
handwritten digit segmentation
structural approach
segmentation-based recognition system
heuristic rules
graphs
AbstractWe deal with a new segmentation approach applied to unconstrained handwritten digits. The novelty of the proposed algorithm is based on the combination of two types of structural features in order to provide the best segmentation path between connected entities. This method was developed to be applied in a segmentation-based recognition system. We first present the features used to generate our basic segmentation points, and we define our segmentation paths depending on the encountered configurations with only few heuristic rules. Then, we present a strategy based on graphs in order to manage the segmentation. Finally, we evaluate the output of our segmenter using a integrated classifier with three different combination methods.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2000 > Handwritten digits segmentation...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > Handwritten digits segmentation...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
4. Conditions of access and use
data URLhttp://urlib.net/ibi/6qtX3pFwXQZeBBx/w4RP9
zipped data URLhttp://urlib.net/zip/6qtX3pFwXQZeBBx/w4RP9
Target File67-73.pdf
User Groupadministrator
Visibilityshown
5. Allied materials
Next Higher Units8JMKD3MGPEW34M/46PN6AP
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/06.10.21.49 2
sid.inpe.br/sibgrapi/2022/04.27.03.08 2
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
NotesThe conference was held in Gramado, RS, Brazil, from October 17 to 20.
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