Identity statement area | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Identifier | 6qtX3pFwXQZeBBx/w4T6C |
Repository | sid.inpe.br/banon/2002/11.05.12.00 |
Last Update | 2002:11.04.02.00.00 administrator |
Metadata | sid.inpe.br/banon/2002/11.05.12.00.37 |
Metadata Last Update | 2020:02.19.02.58.51 administrator |
Citation Key | JustinoYacoBortSabo:2000:OfSiVe |
Title | An off-line signature verification system using hidden Markov model and cross-validation  |
Year | 2000 |
Date | October |
Access Date | 2021, Jan. 19 |
Number of Files | 1 |
Size | 494 KiB |
Context area | |
Author | 1 Justino, Edson J. R. 2 Yacoubi, Abdenaim El 3 Bortolozzi, Flávio 4 Sabourin, Robert |
Editor | Carvalho, Paulo Cezar Pinto Walter, Marcelo |
Conference Name | Brazilian Symposium on Computer Graphics and Image Processing, 13 (SIBGRAPI) |
Conference Location | Gramado, RS, Brazil |
Pages | 105-112 |
Publisher | IEEE Computer Society |
Publisher City | Los Alamitos |
Tertiary Type | Full Paper |
Organization | SBC - Brazilian Computer Society |
History | 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 :: 2020-02-19 02:58:51 :: administrator -> :: 2000 |
Content and structure area | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Content Type | External Contribution |
Keywords | handwriting 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. |
Abstract | The 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. |
source Directory Content | there are no files |
agreement Directory Content | there are no files |
Conditions of access and use area | |
data URL | http://urlib.net/rep/6qtX3pFwXQZeBBx/w4T6C |
zipped data URL | http://urlib.net/zip/6qtX3pFwXQZeBBx/w4T6C |
Target File | 105-112.pdf |
User Group | administrator |
Visibility | shown |
Allied materials area | |
Host Collection | sid.inpe.br/banon/2001/03.30.15.38 |
Notes area | |
Notes | The conference was held in Gramado, RS, Brazil, from October 17 to 20. |
Empty Fields | accessionnumber affiliation archivingpolicy archivist area booktitle callnumber copyholder copyright creatorhistory descriptionlevel dissemination documentstage doi e-mailaddress edition electronicmailaddress format group holdercode isbn issn label language lineage mark mirrorrepository nextedition nexthigherunit numberofvolumes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url versiontype volume |
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