Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.12008/24382
How to cite
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Di Martino, Luis | - |
dc.contributor.author | Preciozzi, Javier | - |
dc.contributor.author | Grompone von Gioi, Rafael | - |
dc.contributor.author | Garella, Guillermo | - |
dc.contributor.author | Fernández, Alicia | - |
dc.contributor.author | Lecumberry, Federico | - |
dc.date.accessioned | 2020-06-22T12:32:59Z | - |
dc.date.available | 2020-06-22T12:32:59Z | - |
dc.date.issued | 2020 | - |
dc.identifier.citation | Di Martino, L., Preciozzi, J., Grompone von Gioi, R., y otros. An a-contrario biometric fusion approach. En : 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops [en línea]. [s.l.] : IEEE-CVF, 2020. | en |
dc.identifier.uri | https://hdl.handle.net/20.500.12008/24382 | - |
dc.description.abstract | Fusion is a key component in many biometric systems: it is one of the most widely used techniques to improve their accuracy. Each time we need to combine the output of systems that use different biometric traits, or different samples of the same biometric trait, or even different algorithms, we need to define a fusion strategy. Independently of the fusion method used, there is always a decision step, in which it is decided if the traits being compared correspond to the same individual or not. In this work, we present a statistical decision criterion based on the a-contrario framework, which has already proven to be useful in biometric applications. The proposed method and its theoretical background is described in detail, and its application to biometric fusion is illustrated with simulated and real data. | en |
dc.format.extent | 2 p. | es |
dc.format.mimetype | application/pdf | es |
dc.language.iso | en | es |
dc.publisher | IEEE-CVF | es |
dc.relation.ispartof | 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 14-19 Jun, pp. 822--823. | en |
dc.rights | Las obras depositadas en el Repositorio se rigen por la Ordenanza de los Derechos de la Propiedad Intelectual de la Universidad de la República.(Res. Nº 91 de C.D.C. de 8/III/1994 – D.O. 7/IV/1994) y por la Ordenanza del Repositorio Abierto de la Universidad de la República (Res. Nº 16 de C.D.C. de 07/10/2014) | es |
dc.subject.other | BIOMETRIA | es |
dc.title | An a-contrario biometric fusion approach. | en |
dc.type | Artículo | es |
dc.contributor.filiacion | Di Martino Luis, Universidad de la República (Uruguay). Facultad de Ingeniería. | - |
dc.contributor.filiacion | Preciozzi Javier, Universidad de la República (Uruguay). Facultad de Ingeniería. | - |
dc.contributor.filiacion | Grompone von Gioi Rafael, Universite Paris-Saclay (France). | - |
dc.contributor.filiacion | Garella Guillermo, Universidad de la República (Uruguay). Facultad de Ingeniería. | - |
dc.contributor.filiacion | Fernández Alicia, Universidad de la República (Uruguay). Facultad de Ingeniería. | - |
dc.contributor.filiacion | Lecumberry Federico, Universidad de la República (Uruguay). Facultad de Ingeniería. | - |
dc.rights.licence | Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) | es |
Appears in Collections: | Publicaciones académicas y científicas - Instituto de Ingeniería Eléctrica |
Files in This Item:
File | Description | Size | Format | ||
---|---|---|---|---|---|
DPGGFL20.pdf | Conferencia | 861,68 kB | Adobe PDF | View/Open |
This item is licensed under a Creative Commons License