| 1. Identity statement | ||||
| Reference Type | Conference Paper (Conference Proceedings) | |||
| Site | sibgrapi.sid.inpe.br | |||
| Holder Code | ibi 8JMKD3MGPEW34M/46T9EHH | |||
| Identifier | 8JMKD3MGPAW/3RPB5DL | |||
| Repository | sid.inpe.br/sibgrapi/2018/09.04.00.21 | |||
| Last Update | 2018:09.04.00.21.53 (UTC) administrator | |||
| Metadata Repository | sid.inpe.br/sibgrapi/2018/09.04.00.21.53 | |||
| Metadata Last Update | 2022:06.14.00.09.23 (UTC) administrator | |||
| DOI | 10.1109/SIBGRAPI.2018.00043 | |||
| Citation Key | BezerraLaLuSeOlBrMe:2018:RoIrSe | |||
| Title | Robust Iris Segmentation Based on Fully Convolutional Networks and Generative Adversarial Networks  | |||
| Format | On-line | |||
| Year | 2018 | |||
| Access Date | 2024, Apr. 27 | |||
| Number of Files | 1 | |||
| Size | 2853 KiB | |||
| 2. Context | ||||
| Author | 1 Bezerra, Cides 2 Laroca, Rayson 3 Lucio, Diego R. 4 Severo, Evair 5 Oliveira, Lucas F. 6 Britto Jr, Alceu S. 7 Menotti, David | |||
| Affiliation | 1 Federal University of Parana 2 Federal University of Parana 3 Federal University of Parana 4 Federal University of Parana 5 Federal University of Parana 6 Pontifical Catholic University of Parana 7 Federal University of Parana | |||
| Editor | Ross, Arun Gastal, Eduardo S. L. Jorge, Joaquim A. Queiroz, Ricardo L. de Minetto, Rodrigo Sarkar, Sudeep Papa, João Paulo Oliveira, Manuel M. Arbeláez, Pablo Mery, Domingo Oliveira, Maria Cristina Ferreira de Spina, Thiago Vallin Mendes, Caroline Mazetto Costa, Henrique Sérgio Gutierrez Mejail, Marta Estela Geus, Klaus de Scheer, Sergio | |||
| e-Mail Address | cides.bezerra@gmail.com | |||
| Conference Name | Conference on Graphics, Patterns and Images, 31 (SIBGRAPI) | |||
| Conference Location | Foz do Iguaçu, PR, Brazil | |||
| Date | 29 Oct.-1 Nov. 2018 | |||
| Publisher | IEEE Computer Society | |||
| Publisher City | Los Alamitos | |||
| Book Title | Proceedings | |||
| Tertiary Type | Full Paper | |||
| History (UTC) | 2018-09-04 00:21:53 :: cides.bezerra@gmail.com -> administrator :: 2022-06-14 00:09:23 :: administrator -> :: 2018 | |||
| 3. Content and structure | ||||
| Is the master or a copy? | is the master | |||
| Content Stage | completed | |||
| Transferable | 1 | |||
| Version Type | finaldraft | |||
| Keywords | Biometric Iris segmentation Non-cooperative | |||
| Abstract | The iris can be considered as one of the most important biometric traits due to its high degree of uniqueness. Iris-based biometrics applications depend mainly on the iris segmentation whose suitability is not robust for different environments such as near-infrared (NIR) and visible (VIS) ones. In this paper, two approaches for robust iris segmentation based on Fully Convolutional Networks (FCNs) and Generative Adversarial Networks (GANs) are described. Similar to a common convolutional network, but without the fully connected layers (i.e., the classification layers), an FCN employs at its end a combination of pooling layers from different convolutional layers. Based on the game theory, a GAN is designed as two networks competing with each other to generate the best segmentation. The proposed segmentation networks achieved promising results in all evaluated datasets (i.e., BioSec, CasiaI3, CasiaT4, IITD-1) of NIR images and (NICE.I, CrEye-Iris and MICHE-I) of VIS images in both non-cooperative and cooperative domains, outperforming the baselines techniques which are the best ones found so far in the literature, i.e., a new state of the art for these datasets. Furthermore, we manually labeled 2,431 images from CasiaT4, CrEye-Iris and MICHE-I datasets, making the masks available for research purposes. | |||
| Arrangement 1 | urlib.net > SDLA > Fonds > SIBGRAPI 2018 > Robust Iris Segmentation... | |||
| Arrangement 2 | urlib.net > SDLA > Fonds > Full Index > Robust Iris Segmentation... | |||
| 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/8JMKD3MGPAW/3RPB5DL | |||
| zipped data URL | http://urlib.net/zip/8JMKD3MGPAW/3RPB5DL | |||
| Language | en | |||
| Target File | 2018_SIBGRAPI_IrisSeg.pdf | |||
| User Group | cides.bezerra@gmail.com | |||
| Visibility | shown | |||
| Update Permission | not transferred | |||
| 5. Allied materials | ||||
| Mirror Repository | sid.inpe.br/banon/2001/03.30.15.38.24 | |||
| Next Higher Units | 8JMKD3MGPAW/3RPADUS 8JMKD3MGPEW34M/4742MCS | |||
| Citing Item List | sid.inpe.br/sibgrapi/2018/09.03.20.37 8 | |||
| Host Collection | sid.inpe.br/banon/2001/03.30.15.38 | |||
| 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 | |||