1. Identity statement | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Holder Code | ibi 8JMKD3MGPEW34M/46T9EHH |
Identifier | 8JMKD3MGPBW4/35TCL38 |
Repository | sid.inpe.br/sibgrapi@80/2009/08.25.11.07 |
Last Update | 2009:08.25.11.07.10 (UTC) administrator |
Metadata Repository | sid.inpe.br/sibgrapi@80/2009/08.25.11.07.12 |
Metadata Last Update | 2022:06.14.00.14.06 (UTC) administrator |
DOI | 10.1109/SIBGRAPI.2009.16 |
Citation Key | CostaGonz:2009:ExSeDy |
Title | Extraction and selection of dynamic features of the human iris |
Format | Printed, On-line. |
Year | 2009 |
Access Date | 2024, Apr. 29 |
Number of Files | 1 |
Size | 249 KiB |
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2. Context | |
Author | 1 Costa, Ronaldo Martins da 2 Gonzaga, Adilson |
Affiliation | 1 School of Engineering at São Carlos - University of São Paulo (USP) 2 School of Engineering at São Carlos - University of São Paulo (USP) |
Editor | Nonato, Luis Gustavo Scharcanski, Jacob |
e-Mail Address | ronaldomc12@gmail.com |
Conference Name | Brazilian Symposium on Computer Graphics and Image Processing, 22 (SIBGRAPI) |
Conference Location | Rio de Janeiro, RJ, Brazil |
Date | 11-14 Oct. 2009 |
Publisher | IEEE Computer Society |
Publisher City | Los Alamitos |
Book Title | Proceedings |
Tertiary Type | Full Paper |
History (UTC) | 2010-08-28 20:03:27 :: ronaldomc12@gmail.com -> administrator :: 2022-06-14 00:14:06 :: administrator -> :: 2009 |
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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 | Iris Dynamic |
Abstract | The personal identification through iris texture analysis is a highly efficient biometric identification method. Some algorithms and techniques were developed, taking into consideration the texture features of the iris image in the human eye. Nonetheless, such features, due to the fact that they are static, they are also susceptible to fraud. That is, a picture can replace the iris in an analysis. For that reason, this paper proposes a method for extracting the texture features of the iris during the pupil contraction and dilation, in addition to the dynamic contraction and dilation features themselves. Therefore, it was developed a new image acquisition system through NIR (Near Infra-Red) illumination, considering the Consensual Reflex of the eyes. The features are measured according to a dynamic illumination standard controlled by the software and are afterwards selected by means of data mining. Then it is possible to increase the safety in the biometric recognition devices of people through their iris, for only living irises can be utilized. The results show a significant precision index in determining such features, despite being inferior to the ones obtained by means of static methodology. |
Arrangement 1 | urlib.net > SDLA > Fonds > SIBGRAPI 2009 > Extraction and selection... |
Arrangement 2 | urlib.net > SDLA > Fonds > Full Index > Extraction and selection... |
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/8JMKD3MGPBW4/35TCL38 |
zipped data URL | http://urlib.net/zip/8JMKD3MGPBW4/35TCL38 |
Language | en |
Target File | Artigo-Sibigrapi-2009-Final.pdf |
User Group | ronaldomc12@gmail.com |
Visibility | shown |
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5. Allied materials | |
Mirror Repository | sid.inpe.br/banon/2001/03.30.15.38.24 |
Next Higher Units | 8JMKD3MGPEW34M/46SJQ2S 8JMKD3MGPEW34M/4742MCS |
Citing Item List | sid.inpe.br/sibgrapi/2022/05.14.19.43 3 |
Host Collection | sid.inpe.br/banon/2001/03.30.15.38 |
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6. Notes | |
Empty Fields | archivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage edition electronicmailaddress group isbn issn label lineage mark nextedition notes numberofvolumes orcid organization pages 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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