A statistical approach to reliability estimation for fingerprint recognition
Resumen:
In this work we focus in the reliability estimation of biometric systems output. We explain why this is a very important problem when deploying a biometric system and face it using a statistical approach. In particular, we present a solution based in the a- contrario approach widely used in the image processing field. We show how this strategy could be adapted and its key advantages with respect to other state-of-the-art reliability measures. A comprehensive set of experiments is used to validate the approach, using different fingerprints databases, matching systems, and comparing the performance with other state-of-the-art confidence measure strategies.
| 2016 | |
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Fingerprint System output Measure of confidence Matching system Biometric systems Biological system modeling Procesamiento de Señales |
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| Inglés | |
| Universidad de la República | |
| COLIBRI | |
| https://hdl.handle.net/20.500.12008/42709 | |
| Acceso abierto | |
| Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
| _version_ | 1807522940875440128 |
|---|---|
| author | Di Martino, Luis |
| author2 | Fernández, Alicia Grompone von Gioi, Rafael Lecumberry, Federico Preciozzi, Javier |
| author2_role | author author author author |
| author_facet | Di Martino, Luis Fernández, Alicia Grompone von Gioi, Rafael Lecumberry, Federico Preciozzi, Javier |
| author_role | author |
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| collection | COLIBRI |
| dc.creator.none.fl_str_mv | Di Martino, Luis Fernández, Alicia Grompone von Gioi, Rafael Lecumberry, Federico Preciozzi, Javier |
| dc.date.accessioned.none.fl_str_mv | 2024-02-26T19:52:44Z |
| dc.date.available.none.fl_str_mv | 2024-02-26T19:52:44Z |
| dc.date.issued.es.fl_str_mv | 2016 |
| dc.date.submitted.es.fl_str_mv | 20240223 |
| dc.description.abstract.none.fl_txt_mv | In this work we focus in the reliability estimation of biometric systems output. We explain why this is a very important problem when deploying a biometric system and face it using a statistical approach. In particular, we present a solution based in the a- contrario approach widely used in the image processing field. We show how this strategy could be adapted and its key advantages with respect to other state-of-the-art reliability measures. A comprehensive set of experiments is used to validate the approach, using different fingerprints databases, matching systems, and comparing the performance with other state-of-the-art confidence measure strategies. |
| dc.description.es.fl_txt_mv | Trabajo presentado en International Conference of the Biometrics Special Interest Group (BIOSIG), Darmstadt, Germany, 21-23 set., 2016. |
| dc.identifier.citation.es.fl_str_mv | Di Martino, L, Fernandez, A, Grompone von Gioi, R, Lecumberry, F, Preciozzi, J. "A Statistical Approach to Reliability Estimation for Fingerprint Recognition" Publicado en: Proceedings of the International Conference of the Biometrics Special Interest Group (BIOSIG), Darmstadt, Germany, 21-23 set., 2016, pp. 1-8, doi: 10.1109/BIOSIG.2016.7736906. |
| dc.identifier.uri.none.fl_str_mv | https://hdl.handle.net/20.500.12008/42709 |
| dc.language.iso.none.fl_str_mv | en eng |
| dc.rights.license.none.fl_str_mv | Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
| dc.rights.none.fl_str_mv | info:eu-repo/semantics/openAccess |
| dc.source.none.fl_str_mv | reponame:COLIBRI instname:Universidad de la República instacron:Universidad de la República |
| dc.subject.es.fl_str_mv | Fingerprint System output Measure of confidence Matching system Biometric systems Biological system modeling |
| dc.subject.other.es.fl_str_mv | Procesamiento de Señales |
| dc.title.none.fl_str_mv | A statistical approach to reliability estimation for fingerprint recognition |
| dc.type.es.fl_str_mv | Ponencia |
| dc.type.none.fl_str_mv | info:eu-repo/semantics/conferenceObject |
| dc.type.version.none.fl_str_mv | info:eu-repo/semantics/publishedVersion |
| description | Trabajo presentado en International Conference of the Biometrics Special Interest Group (BIOSIG), Darmstadt, Germany, 21-23 set., 2016. |
| eu_rights_str_mv | openAccess |
| format | conferenceObject |
| id | COLIBRI_671b94d272da827b64233b384c6f9227 |
| identifier_str_mv | Di Martino, L, Fernandez, A, Grompone von Gioi, R, Lecumberry, F, Preciozzi, J. "A Statistical Approach to Reliability Estimation for Fingerprint Recognition" Publicado en: Proceedings of the International Conference of the Biometrics Special Interest Group (BIOSIG), Darmstadt, Germany, 21-23 set., 2016, pp. 1-8, doi: 10.1109/BIOSIG.2016.7736906. |
| instacron_str | Universidad de la República |
| institution | Universidad de la República |
| instname_str | Universidad de la República |
| language | eng |
| language_invalid_str_mv | en |
| network_acronym_str | COLIBRI |
| network_name_str | COLIBRI |
| oai_identifier_str | oai:colibri.udelar.edu.uy:20.500.12008/42709 |
| publishDate | 2016 |
| reponame_str | COLIBRI |
| repository.mail.fl_str_mv | mabel.seroubian@seciu.edu.uy |
| repository.name.fl_str_mv | COLIBRI - Universidad de la República |
| repository_id_str | 4771 |
| rights_invalid_str_mv | Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
| spelling | 2024-02-26T19:52:44Z2024-02-26T19:52:44Z201620240223Di Martino, L, Fernandez, A, Grompone von Gioi, R, Lecumberry, F, Preciozzi, J. "A Statistical Approach to Reliability Estimation for Fingerprint Recognition" Publicado en: Proceedings of the International Conference of the Biometrics Special Interest Group (BIOSIG), Darmstadt, Germany, 21-23 set., 2016, pp. 1-8, doi: 10.1109/BIOSIG.2016.7736906.https://hdl.handle.net/20.500.12008/42709Trabajo presentado en International Conference of the Biometrics Special Interest Group (BIOSIG), Darmstadt, Germany, 21-23 set., 2016.In this work we focus in the reliability estimation of biometric systems output. We explain why this is a very important problem when deploying a biometric system and face it using a statistical approach. In particular, we present a solution based in the a- contrario approach widely used in the image processing field. We show how this strategy could be adapted and its key advantages with respect to other state-of-the-art reliability measures. A comprehensive set of experiments is used to validate the approach, using different fingerprints databases, matching systems, and comparing the performance with other state-of-the-art confidence measure strategies.Made available in DSpace on 2024-02-26T19:52:44Z (GMT). No. of bitstreams: 5 DFGLP16.pdf: 341202 bytes, checksum: dd24706584ab080a041ba6b6bbeba10a (MD5) license_text: 21936 bytes, checksum: 9833653f73f7853880c94a6fead477b1 (MD5) license_url: 49 bytes, checksum: 4afdbb8c545fd630ea7db775da747b2f (MD5) license_rdf: 23148 bytes, checksum: 9da0b6dfac957114c6a7714714b86306 (MD5) license.txt: 4244 bytes, checksum: 528b6a3c8c7d0c6e28129d576e989607 (MD5) Previous issue date: 2016enengLas 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)info:eu-repo/semantics/openAccessLicencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)FingerprintSystem outputMeasure of confidenceMatching systemBiometric systemsBiological system modelingProcesamiento de SeñalesA statistical approach to reliability estimation for fingerprint recognitionPonenciainfo:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionreponame:COLIBRIinstname:Universidad de la Repúblicainstacron:Universidad de la RepúblicaDi Martino, LuisFernández, AliciaGrompone von Gioi, RafaelLecumberry, FedericoPreciozzi, JavierProcesamiento de SeñalesTratamiento de 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- Universidad de la Repúblicafalse |
| spellingShingle | A statistical approach to reliability estimation for fingerprint recognition Di Martino, Luis Fingerprint System output Measure of confidence Matching system Biometric systems Biological system modeling Procesamiento de Señales |
| status_str | publishedVersion |
| title | A statistical approach to reliability estimation for fingerprint recognition |
| title_full | A statistical approach to reliability estimation for fingerprint recognition |
| title_fullStr | A statistical approach to reliability estimation for fingerprint recognition |
| title_full_unstemmed | A statistical approach to reliability estimation for fingerprint recognition |
| title_short | A statistical approach to reliability estimation for fingerprint recognition |
| title_sort | A statistical approach to reliability estimation for fingerprint recognition |
| topic | Fingerprint System output Measure of confidence Matching system Biometric systems Biological system modeling Procesamiento de Señales |
| url | https://hdl.handle.net/20.500.12008/42709 |
