Mañana, JUEVES, 24 DE ABRIL, el sistema se apagará debido a tareas habituales de mantenimiento a partir de las 9 de la mañana. Lamentamos las molestias.
Towards Predicting Good Users for Biometric Recognition Based on Keystroke Dynamics
dc.contributor.author | Morales Moreno, Aythami | |
dc.contributor.author | Fiérrez Aguilar, Julián | |
dc.contributor.author | Ortega García, Javier | |
dc.contributor.other | UAM. Departamento de Tecnología Electrónica y de las Comunicaciones | es_ES |
dc.date.accessioned | 2015-04-21T17:08:51Z | |
dc.date.available | 2015-04-21T17:08:51Z | |
dc.date.issued | 2015 | |
dc.identifier.citation | Computer Vision - ECCV 2014 Workshops: Zurich, Switzerland, September 6-7 and 12, 2014, Proceedings, Part II. Lecture Notes in Computer Science, Volumen 8926. Springer, 2015. 711-724 | en_US |
dc.identifier.issn | 0302-9743 (print) | en_US |
dc.identifier.issn | 1611-3349 (online) | en_US |
dc.identifier.uri | http://hdl.handle.net/10486/665359 | |
dc.description | The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-16181-5_54 | en_US |
dc.description | Proceedings in Computer Vision - ECCV 2014 Workshops held in Zurich (Switzerland) on 2015. | en_US |
dc.description.abstract | This paper studies ways to detect good users for biometric recognition based on keystroke dynamics. Keystroke dynamics is an active research field for the biometric scientific community. Despite the great efforts made during the last decades, the performance of keystroke dynamics recognition systems is far from the performance achieved by traditional hard biometrics. This is very pronounced for some users, who generate many recognition errors even with the most sophisticate recognition algorithms. On the other hand, previous works have demonstrated that some other users behave particularly well even with the simplest recognition algorithms. Our purpose here is to study ways to distinguish such classes of users using only the genuine enrollment data. The experiments comprise a public database and two popular recognition algorithms. The results show the effectiveness of the Kullback-Leibler divergence as a quality measure to categorize users in comparison with other four statistical measures. | en_US |
dc.description.sponsorship | This work has been partially supported by projects Bio-Shield (TEC2012-34881) from Spanish MINECO and BEAT (FP7-SEC-284989) from EU. | en_US |
dc.format.extent | 15 pág. | es_ES |
dc.format.mimetype | application/pdf | en_US |
dc.language.iso | eng | en_US |
dc.publisher | Springer Berlin Heidelberg | en_US |
dc.relation.ispartof | Lecture Notes in Computer Science | en_US |
dc.rights | © Springer-Verlag Berlin Heidelberg [2015] | en_US |
dc.subject.other | Keystroke | en_US |
dc.subject.other | Typing patterns | en_US |
dc.subject.other | Biometric | en_US |
dc.subject.other | Authentication | en_US |
dc.subject.other | Quality | en_US |
dc.subject.other | Performance prediction | en_US |
dc.title | Towards Predicting Good Users for Biometric Recognition Based on Keystroke Dynamics | en_US |
dc.type | conferenceObject | en_US |
dc.type | bookPart | en_US |
dc.subject.eciencia | Telecomunicaciones | es_ES |
dc.date.embargoend | 2016-03-20 | |
dc.relation.publisherversion | http://dx.doi.org/10.1007/978-3-319-16181-5_54 | |
dc.identifier.doi | 10.1007/978-3-319-16181-5_54 | |
dc.identifier.publicationfirstpage | 711 | |
dc.identifier.publicationlastpage | 724 | |
dc.identifier.publicationvolume | 8926 | |
dc.relation.eventdate | September 6-7 and 12, 2014 | en_US |
dc.relation.eventplace | Zurich (Switzerland) | en_US |
dc.relation.eventtitle | Workshops Computer Vision, European Conference on Computer Vision, ECCV 2014 | en_US |
dc.relation.projectID | info:eu-repo/grantAgreement/EC/FP7/284989 | en_US |
dc.relation.projectID | Gobierno de España. TEC2012-34881 | es_ES |
dc.type.version | info:eu-repo/semantics/acceptedVersion | en_US |
dc.contributor.group | Análisis y Tratamiento de Voz y Señales Biométricas (ING EPS-002) | es_ES |
dc.rights.accessRights | openAccess | en_US |
dc.authorUAM | Fierrez Aguilar, Julián (261834) | |
dc.authorUAM | Morales Moreno, Aythami (264948) | |
dc.facultadUAM | Escuela Politécnica Superior |