Biometric antispoofing methods: A survey in face recognition
Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lis...
| Autores: | ; ; |
|---|---|
| Tipo de documento: | Artículo |
| Fecha de publicación: | 2014 |
| País: | España |
| Institución: | Universidad Autónoma de Madrid |
| Repositorio: | Biblos-e Archivo. Repositorio Institucional de la UAM |
| Lenguaje: | Inglés |
| OAI Identifier: | oai:repositorio.uam.es:10486/666327 |
| Acceso en línea: | http://hdl.handle.net/10486/666327 https://dx.doi.org/10.1109/ACCESS.2014.2381273 |
| Nivel de acceso: | Acceso abierto |
| Palabra clave: | Anti-Spoofing Biometrics Security Telecomunicaciones |
| _version_ | 1878732247909007360 |
|---|---|
| author | Galbally Herrero, Javier |
| author2 | Marcel, Sébastien Fiérrez Aguilar, Julián |
| author2_role | author author |
| author_browse | Fiérrez Aguilar, Julián Galbally Herrero, Javier Marcel, Sébastien |
| author_facet | Galbally Herrero, Javier Marcel, Sébastien Fiérrez Aguilar, Julián |
| author_role | author |
| collection | Biblos-e Archivo. Repositorio Institucional de la UAM |
| description | Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. J. Galbally, S. Marcel and J. Fierrez, "Biometric Antispoofing Methods", IEEE Access, vol.2, pp. 1530-1552, Dec. 2014 |
| eu_rights_str_mv | openAccess |
| format | article |
| id | ES_3f4db24f3d80ea9be86da017b8512dce |
| institution | Universidad Autónoma de Madrid |
| instname_str | Universidad Autónoma de Madrid |
| language | eng |
| network_acronym_str | ES |
| network_name_str | España |
| oai_identifier_str | oai:repositorio.uam.es:10486/666327 |
| publishDate | 2014 |
| publishDateSort | 2014 |
| publisher | Institute of Electrical and Electronics Engineers |
| publisherStr | Institute of Electrical and Electronics Engineers |
| reponame_str | Biblos-e Archivo. Repositorio Institucional de la UAM |
| spelling | Biometric antispoofing methods: A survey in face recognition Galbally Herrero, Javier Marcel, Sébastien Fiérrez Aguilar, Julián Anti-Spoofing Biometrics Security Telecomunicaciones Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. J. Galbally, S. Marcel and J. Fierrez, "Biometric Antispoofing Methods", IEEE Access, vol.2, pp. 1530-1552, Dec. 2014 In recent decades, we have witnessed the evolution of biometric technology from the rst pioneering works in face and voice recognition to the current state of development wherein a wide spectrum of highly accurate systems may be found, ranging from largely deployed modalities, such as ngerprint, face, or iris, to more marginal ones, such as signature or hand. This path of technological evolution has naturally led to a critical issue that has only started to be addressed recently: the resistance of this rapidly emerging technology to external attacks and, in particular, to spoo ng. Spoo ng, referred to by the term presentation attack in current standards, is a purely biometric vulnerability that is not shared with other IT security solutions. It refers to the ability to fool a biometric system into recognizing an illegitimate user as a genuine one by means of presenting a synthetic forged version of the original biometric trait to the sensor. The entire biometric community, including researchers, developers, standardizing bodies, and vendors, has thrown itself into the challenging task of proposing and developing ef cient protection methods against this threat. The goal of this paper is to provide a comprehensive overview on the work that has been carried out over the last decade in the emerging eld of antispoo ng, with special attention to the mature and largely deployed face modality. The work covers theories, methodologies, state-of-the-art techniques, and evaluation databases and also aims at providing an outlook into the future of this very active eld of research. This work was supported in part by the CAM under Project S2009/TIC-1485, in part by the Ministry of Economy and Competitiveness through the Bio-Shield Project under Grant TEC2012-34881, in part by the TABULA RASA Project under Grant FP7-ICT-257289, in part by the BEAT Project under Grant FP7-SEC-284989 through the European Union, and in part by the Cátedra Universidad Autónoma de Madrid-Telefónica. Institute of Electrical and Electronics Engineers http://hdl.handle.net/10486/666327 https://dx.doi.org/10.1109/ACCESS.2014.2381273 |
| spellingShingle | Biometric antispoofing methods: A survey in face recognition Galbally Herrero, Javier Anti-Spoofing Biometrics Security Telecomunicaciones |
| title | Biometric antispoofing methods: A survey in face recognition |
| title_full | Biometric antispoofing methods: A survey in face recognition |
| title_fullStr | Biometric antispoofing methods: A survey in face recognition |
| title_full_unstemmed | Biometric antispoofing methods: A survey in face recognition |
| title_short | Biometric antispoofing methods: A survey in face recognition |
| title_sort | Biometric antispoofing methods: A survey in face recognition |
| topic | Anti-Spoofing Biometrics Security Telecomunicaciones |
| topic_facet | Anti-Spoofing Biometrics Security Telecomunicaciones |
| url | http://hdl.handle.net/10486/666327 https://dx.doi.org/10.1109/ACCESS.2014.2381273 |