1. Identity statement | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Holder Code | ibi 8JMKD3MGPEW34M/46T9EHH |
Identifier | 6qtX3pFwXQZeBBx/w4T6C |
Repository | sid.inpe.br/banon/2002/11.05.12.00 |
Last Update | 2002:11.04.02.00.00 (UTC) administrator |
Metadata Repository | sid.inpe.br/banon/2002/11.05.12.00.37 |
Metadata Last Update | 2022:06.14.00.12.06 (UTC) administrator |
DOI | 10.1109/SIBGRA.2000.883902 |
Citation Key | JustinoYacoBortSabo:2000:OfSiVe |
Title | An off-line signature verification system using hidden Markov model and cross-validation |
Year | 2000 |
Access Date | 2024, May 04 |
Number of Files | 1 |
Size | 494 KiB |
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2. Context | |
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 |
Date | 17-20 Oct. 2000 |
Publisher | IEEE Computer Society |
Publisher City | Los Alamitos |
Pages | 105-112 |
Book Title | Proceedings |
Tertiary Type | Full Paper |
Organization | SBC - 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 |
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3. Content and structure | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Version Type | finaldraft |
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. |
Arrangement 1 | urlib.net > SDLA > Fonds > SIBGRAPI 2000 > An off-line signature... |
Arrangement 2 | urlib.net > SDLA > Fonds > Full Index > An off-line signature... |
doc Directory Content | access |
source Directory Content | there are no files |
agreement Directory Content | there are no files |
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4. Conditions of access and use | |
data URL | http://urlib.net/ibi/6qtX3pFwXQZeBBx/w4T6C |
zipped data URL | http://urlib.net/zip/6qtX3pFwXQZeBBx/w4T6C |
Target File | 105-112.pdf |
User Group | administrator |
Visibility | shown |
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5. Allied materials | |
Next Higher Units | 8JMKD3MGPEW34M/46PN6AP 8JMKD3MGPEW34M/4742MCS |
Citing Item List | sid.inpe.br/sibgrapi/2022/04.27.03.08 4 |
Host Collection | sid.inpe.br/banon/2001/03.30.15.38 |
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6. Notes | |
Notes | The conference was held in Gramado, RS, Brazil, from October 17 to 20. |
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