1. Identity statement | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Holder Code | ibi 8JMKD3MGPEW34M/46T9EHH |
Identifier | 8JMKD3MGPEW34M/3U56U6E |
Repository | sid.inpe.br/sibgrapi/2019/09.25.13.50 |
Last Update | 2019:09.25.13.50.48 (UTC) administrator |
Metadata Repository | sid.inpe.br/sibgrapi/2019/09.25.13.50.48 |
Metadata Last Update | 2022:06.14.00.09.43 (UTC) administrator |
DOI | 10.1109/SIBGRAPI.2019.00032 |
Citation Key | LucioLarZanMorMen:2019:SiIrPe |
Title | Simultaneous Iris and Periocular Region Detection Using Coarse Annotations |
Format | On-line |
Year | 2019 |
Access Date | 2024, May 09 |
Number of Files | 1 |
Size | 980 KiB |
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2. Context | |
Author | 1 Lucio, Diego Rafael 2 Laroca, Rayson 3 Zanlorensi, Luiz Antonio 4 Moreira, Gladston 5 Menotti, David |
Affiliation | 1 Federal University of Paraná 2 Federal University of Paraná 3 Federal University of Paraná 4 Federal University of Ouro Preto 5 Federal University of Paraná |
Editor | Oliveira, Luciano Rebouças de Sarder, Pinaki Lage, Marcos Sadlo, Filip |
e-Mail Address | diegorafaellucio@gmail.com |
Conference Name | Conference on Graphics, Patterns and Images, 32 (SIBGRAPI) |
Conference Location | Rio de Janeiro, RJ, Brazil |
Date | 28-31 Oct. 2019 |
Publisher | IEEE Computer Society |
Publisher City | Los Alamitos |
Book Title | Proceedings |
Tertiary Type | Full Paper |
History (UTC) | 2019-09-25 13:54:27 :: diegorafaellucio@gmail.com -> administrator :: 2019 2022-06-14 00:09:43 :: administrator -> diegorafaellucio@gmail.com :: 2019 |
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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 periocular detection simultaneous |
Abstract | In this work, we propose to detect the iris and periocular regions simultaneously using coarse annotations and two well-known object detectors: YOLOv2 and Faster R-CNN. We believe coarse annotations can be used in recognition systems based on the iris and periocular regions, given the much smaller engineering effort required to manually annotate the training images. We manually made coarse annotations of the iris and periocular regions (~ 122K images from the visible (VIS) spectrum and ~ 38K images from the near-infrared (NIR) spectrum). The iris annotations in the NIR databases were generated semi-automatically by first applying an iris segmentation CNN and then performing a manual inspection. These annotations were made for 11 well-known public databases (3 NIR and 8 VIS) designed for the iris-based recognition problem, and are publicly available to the research community1. Experimenting our proposal on these databases, we highlight two results. First, the Faster R-CNN + Feature Pyramid Network (FPN) model reported an Intersection over Union (IoU) higher than YOLOv2 (91.86% vs 85.30%). Second, the detection of the iris and periocular regions being performed simultaneously is as accurate as performed separately, but with a lower computational cost, i.e. two tasks were carried out at the cost of one. |
Arrangement 1 | urlib.net > SDLA > Fonds > SIBGRAPI 2019 > Simultaneous Iris and... |
Arrangement 2 | urlib.net > SDLA > Fonds > Full Index > Simultaneous Iris and... |
doc Directory Content | access |
source Directory Content | there are no files |
agreement Directory Content | |
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4. Conditions of access and use | |
data URL | http://urlib.net/ibi/8JMKD3MGPEW34M/3U56U6E |
zipped data URL | http://urlib.net/zip/8JMKD3MGPEW34M/3U56U6E |
Language | en |
Target File | 2019_SIBGRAPI_IRIS_PRD_Detection.pdf |
User Group | diegorafaellucio@gmail.com |
Visibility | shown |
Update Permission | not transferred |
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5. Allied materials | |
Mirror Repository | sid.inpe.br/banon/2001/03.30.15.38.24 |
Next Higher Units | 8JMKD3MGPEW34M/3UA4FNL 8JMKD3MGPEW34M/3UA4FPS 8JMKD3MGPEW34M/4742MCS |
Citing Item List | sid.inpe.br/sibgrapi/2019/10.25.18.30.33 1 |
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 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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7. Description control | |
e-Mail (login) | diegorafaellucio@gmail.com |
update | |
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