Hybrid method based on topography for robust detection of iris center and eye corners
| dc.contributor.author | Villanueva Larre, Arantxa | |
| dc.contributor.author | Ponz Sarvisé, Victoria | |
| dc.contributor.author | Sesma Sánchez, Laura | |
| dc.contributor.author | Ariz Galilea, Mikel | |
| dc.contributor.author | Porta Cuéllar, Sonia | |
| dc.contributor.author | Cabeza Laguna, Rafael | |
| dc.contributor.department | Ingeniería Eléctrica, Electrónica y de Comunicación | es_ES |
| dc.contributor.department | Ingeniaritza Elektrikoa, Elektronikoaren eta Telekomunikazio Ingeniaritzaren | eu |
| dc.date.accessioned | 2020-02-05T09:41:26Z | |
| dc.date.available | 2020-02-05T09:41:26Z | |
| dc.date.issued | 2013 | |
| dc.description.abstract | A multi-stage procedure to detect eye features is presented. Multiresolution and topographic classification are used to detect the iris center. The eye corner is calculated combining valley detection and eyelid curve extraction. The algorithm is tested in the BioID database and in a proprietary database containing more than 1200 images. The results show that the suggested algorithm is robust and accurate. Regarding the iris center our method obtains the best average behavior for the BioID database compared to other available algorithms. Additional contributions are that our algorithm functions in real time and does not require complex post processing stages. | en |
| dc.description.sponsorship | Spanish Ministry of Science and Technology has supported this work under Contract TIN2009-12247 | en |
| dc.format.extent | 20 p. | |
| dc.format.mimetype | application/pdf | en |
| dc.identifier.doi | 10.1145/2501643.2501647 | |
| dc.identifier.issn | 1551-6865 | |
| dc.identifier.uri | https://academica-e.unavarra.es/handle/2454/36193 | |
| dc.language.iso | eng | en |
| dc.publisher | ACM (Association for Computing Machinery) | en |
| dc.relation.ispartof | ACM Transactions on Multimedia Computing, Communications and Applications, Vol. 9, No. 4, Article 25 | en |
| dc.relation.projectID | info:eu-repo/grantAgreement/MICINN//TIN2009-12247/ES/ | |
| dc.relation.publisherversion | https://doi.org/10.1145/2501643.2501647 | |
| dc.rights | © 2010 ACM. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in Arantxa Villanueva, Victoria Ponz, Laura Sesma-Sanchez, Mikel Ariz, Sonia Porta, and Rafael Cabeza. 2013. Hybrid method based on topography for robust detection of iris center and eye corners. ACM Trans. Multimedia Comput. Commun. Appl. 9, 4, Article 25 (August 2013), 20 pages. DOI: https://doi.org/10.1145/2501643.2501647 | en |
| dc.rights.accessRights | info:eu-repo/semantics/openAccess | |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
| dc.subject | Computing methodologies | en |
| dc.subject | Artificial intelligence | en |
| dc.subject | Computer vision | en |
| dc.subject | Computer visions tasks | en |
| dc.subject | Human-centered computing | en |
| dc.subject | Human-computer interaction (HCI) | en |
| dc.subject | Interaction devices | en |
| dc.subject | Touch screens | en |
| dc.title | Hybrid method based on topography for robust detection of iris center and eye corners | en |
| dc.type | info:eu-repo/semantics/article | |
| dc.type.version | info:eu-repo/semantics/acceptedVersion | |
| dspace.entity.type | Publication | |
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