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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier6qtX3pFwXQZeBBx/w4SPk
Repositorysid.inpe.br/banon/2002/11.05.11.50
Last Update2002:11.04.02.00.00 (UTC) administrator
Metadata Repositorysid.inpe.br/banon/2002/11.05.11.50.05
Metadata Last Update2022:06.14.00.12.05 (UTC) administrator
DOI10.1109/SIBGRA.2000.883901
Citation KeyFreitasYacoFlįvSabo:2000:BrBaCh
TitleBrazilian bank check handwritten legal amount recognition
Year2000
Access Date2024, May 04
Number of Files1
Size629 KiB
2. Context
Author1 Freitas, Cinthia Oblanden de Almendra
2 Yacoubi, Abdenaim el
3 Flįvio, Bortolozzi
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
Pages97-104
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 20:36:54 :: administrator -> banon ::
2010-08-28 20:00:09 :: banon -> administrator ::
2022-06-14 00:12:05 :: administrator -> :: 2000
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
Keywordsdocument image processing
bank check handwritten word recognition
bank cheque
hidden markov models
global word analysis
feature extraction
database
AbstractThis paper presents a system that is being developed for the recognition of the handwritten legal amount in Brazilian bank checks. Our strategy used to approach the handwritten legal amount recognition problem puts on evidence the keywords: "mil", "reals/real", "centavos/centavo" which are almost always present in each amount. The recognizer, based on hidden markov models, does a global word analysis, therefore, it does not carry out an explicit segmentation of words into characters or pseudo-characters. In this context, each word image is transformed into a sequence of observations using pre-processing and feature extraction stages. Our system, when tested on our database simulating Brazilian bank checks, shows the viability of our approach.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2000 > Brazilian bank check...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > Brazilian bank check...
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/w4SPk
zipped data URLhttp://urlib.net/zip/6qtX3pFwXQZeBBx/w4SPk
Target File97-104.pdf
User Groupadministrator
Visibilityshown
5. Allied materials
Next Higher Units8JMKD3MGPEW34M/46PN6AP
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.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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