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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier6qtX3pFwXQZeBBx/GN2sy
Repositorysid.inpe.br/banon/2005/07.18.05.33
Last Update2005:07.18.03.00.00 (UTC) administrator
Metadata Repositorysid.inpe.br/banon/2005/07.18.05.33.03
Metadata Last Update2022:06.14.00.13.07 (UTC) administrator
DOI10.1109/SIBGRAPI.2005.14
Citation KeyMorimotoSantMuni:2005:AuIrSe
TitleAutomatic iris segmentation using active near infra red lighting
FormatOn-line
Year2005
Access Date2024, Apr. 23
Number of Files1
Size568 KiB
2. Context
Author1 Morimoto, Carlos Hitoshi
2 Santos, Thiago Teixeira
3 Muniz, Adriano Saturno
Affiliation1 Department of Computer Science of the Institute of Mathmatics and Statistics of the University of São Paulo
EditorRodrigues, Maria Andréia Formico
Frery, Alejandro César
e-Mail Addresshitoshi@ime.usp.br
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 18 (SIBGRAPI)
Conference LocationNatal, RN, Brazil
Date9-12 Oct. 2005
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2008-07-17 14:11:01 :: hitoshi -> banon ::
2008-08-26 15:17:03 :: banon -> administrator ::
2009-08-13 20:37:59 :: administrator -> banon ::
2010-08-28 20:01:20 :: banon -> administrator ::
2022-06-14 00:13:07 :: administrator -> :: 2005
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
Keywordsiris segmentation
biometrics
pupil detection
near infra red lighting
AbstractThis paper introduces a fast, robust and accurate iris segmentation technique based on active lighting. The geometry of the light sources, a single camera and the eye facilitates the detection of the pupil and the automatic selection of the most appropriate image for biometric identification from the video stream, minimizing the effects of noise, distortion and occlusion during the image acquisition process. Two near infrared (NIR) light sources (that are invisible to the human eye) are synchronized with the video signal. One of the light sources is placed near the optical axis of the camera, and generates a bright pupil image. The second light is placed off-axis, generating dark pupil images. These two images can be easily combined to segment the pupil region, and the corneal reflection of the light sources can be used to select best quality images. The pupil position is then used to segment the iris and eyelids using a coarse-to-fine strategy. Experimental results with a real-time prototype show the quality of the iris segmentation.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2005 > Automatic iris segmentation...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > Automatic iris segmentation...
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/GN2sy
zipped data URLhttp://urlib.net/zip/6qtX3pFwXQZeBBx/GN2sy
Languageen
Target Filemorimotoc_iris.pdf
User Grouphitoshi
administrator
Visibilityshown
5. Allied materials
Next Higher Units8JMKD3MGPEW34M/46R3ED5
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/05.05.04.08 9
sid.inpe.br/banon/2001/03.30.15.38.24 1
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 mirrorrepository 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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