Close

1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPBW4/35TCL38
Repositorysid.inpe.br/sibgrapi@80/2009/08.25.11.07
Last Update2009:08.25.11.07.10 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi@80/2009/08.25.11.07.12
Metadata Last Update2022:06.14.00.14.06 (UTC) administrator
DOI10.1109/SIBGRAPI.2009.16
Citation KeyCostaGonz:2009:ExSeDy
TitleExtraction and selection of dynamic features of the human iris
FormatPrinted, On-line.
Year2009
Access Date2024, Apr. 29
Number of Files1
Size249 KiB
2. Context
Author1 Costa, Ronaldo Martins da
2 Gonzaga, Adilson
Affiliation1 School of Engineering at São Carlos - University of São Paulo (USP)
2 School of Engineering at São Carlos - University of São Paulo (USP)
EditorNonato, Luis Gustavo
Scharcanski, Jacob
e-Mail Addressronaldomc12@gmail.com
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 22 (SIBGRAPI)
Conference LocationRio de Janeiro, RJ, Brazil
Date11-14 Oct. 2009
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2010-08-28 20:03:27 :: ronaldomc12@gmail.com -> administrator ::
2022-06-14 00:14:06 :: administrator -> :: 2009
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
KeywordsIris
Dynamic
AbstractThe 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 1urlib.net > SDLA > Fonds > SIBGRAPI 2009 > Extraction and selection...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > Extraction and selection...
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/8JMKD3MGPBW4/35TCL38
zipped data URLhttp://urlib.net/zip/8JMKD3MGPBW4/35TCL38
Languageen
Target FileArtigo-Sibigrapi-2009-Final.pdf
User Groupronaldomc12@gmail.com
Visibilityshown
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPEW34M/46SJQ2S
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/05.14.19.43 3
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy 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


Close