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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier6qtX3pFwXQZeBBx/w4T6C
Repositorysid.inpe.br/banon/2002/11.05.12.00
Last Update2002:11.04.02.00.00 (UTC) administrator
Metadata Repositorysid.inpe.br/banon/2002/11.05.12.00.37
Metadata Last Update2022:06.14.00.12.06 (UTC) administrator
DOI10.1109/SIBGRA.2000.883902
Citation KeyJustinoYacoBortSabo:2000:OfSiVe
TitleAn off-line signature verification system using hidden Markov model and cross-validation
Year2000
Access Date2024, May 04
Number of Files1
Size494 KiB
2. Context
Author1 Justino, Edson J. R.
2 Yacoubi, Abdenaim El
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
Pages105-112
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 00:12:06 :: administrator -> :: 2000
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
Keywordshandwriting recognition
off-line signature verification system
pre-processing process
segmentation process
feature extraction process
random falsifications
false acceptance concept
false rejection concept
hidden Markov model
cross-validation
learning process
intrapersonal variation
interpersonal variation
automatic decision threshold derivation
AbstractThe main objective is to present an off-line signature verification system. It is basically divided into three parts. The first demonstrates a pre-processing process, a segmentation process and a feature extraction process, in which the main aim is to obtain the maximum performance quality of the process of verification of random falsifications, in the false acceptance and false rejection concept. The second presents a learning process based on HMM, where the aim is obtaining the best model. That is, one that is capable of representing each writer's signature, absorbing yet at the same time discriminating, at most the intrapersonal and interpersonal variation. The third presents a signature verification process that uses the models generated by the learning process without using any prior knowledge of test data, in other words, using an automatic derivation process of the decision thresholds.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2000 > An off-line signature...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > An off-line signature...
doc Directory Contentaccess
source Directory Contentthere are no files
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/6qtX3pFwXQZeBBx/w4T6C
zipped data URLhttp://urlib.net/zip/6qtX3pFwXQZeBBx/w4T6C
Target File105-112.pdf
User Groupadministrator
Visibilityshown
5. Allied materials
Next Higher Units8JMKD3MGPEW34M/46PN6AP
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/04.27.03.08 4
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.
Empty Fieldsaffiliation archivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage e-mailaddress edition electronicmailaddress format group isbn issn label language lineage mark mirrorrepository nextedition numberofvolumes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url volume


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