Please use this identifier to cite or link to this item:
http://hdl.handle.net/10553/46165
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Gómez, Enrique | en_US |
dc.contributor.author | Travieso, Carlos M. | en_US |
dc.contributor.author | Briceño, Juan C. | en_US |
dc.contributor.author | Ferrer, Miguel A. | en_US |
dc.contributor.other | Travieso-Gonzalez, Carlos M. | - |
dc.contributor.other | Ferrer, Miguel A | - |
dc.date.accessioned | 2018-11-23T01:57:19Z | - |
dc.date.available | 2018-11-23T01:57:19Z | - |
dc.date.issued | 2002 | en_US |
dc.identifier.isbn | 0-7803-7436-3 | en_US |
dc.identifier.uri | http://hdl.handle.net/10553/46165 | - |
dc.description.abstract | Biometrics systems based on lip shape recognition are of great interest, but have received little attention in the scientific literature. This is perhaps due to the belief that they have little discriminative power. However, a careful study shows that the difference between lip outlines is greater than that between shapes at different lip images of the same person. So, biometric identification by lip outline is possible. In this paper the lip outline is obtained from a color face picture: the color image is transformed to the gray scale using the transformation of Chang et al. (1994) and binarized with the Ridler and Calvar threshold. Considering the lip centroid as the origin of coordinates, each pixel lip envelope is parameterized with polar (ordered from -/spl pi/ to +/spl pi/) and Cartesian coordinates (ordered as heights and widths). To asses identity, a multilabeled multiparameter hidden Markov model is used with the polar coordinates and a multilayer neural network is applied to Cartesian coordinates. With a database of 50 people an average classification hit ratio of 96.9% and equal error ratio (EER) of 0.015 are obtained. | en_US |
dc.language | eng | en_US |
dc.relation.ispartof | IEEE Annual International Carnahan Conference on Security Technology, Proceedings | en_US |
dc.source | IEEE Annual International Carnahan Conference on Security Technology, Proceedings, p. 39-42 | en_US |
dc.subject | 3307 Tecnología electrónica | en_US |
dc.subject.other | biometrics (access control) | en_US |
dc.subject.other | hidden Markov models | en_US |
dc.subject.other | feature extraction | en_US |
dc.subject.other | edge detection | en_US |
dc.subject.other | image recognition | en_US |
dc.title | Biometric identification system by lip shape | en_US |
dc.type | info:eu-repo/semantics/conferenceObject | en_US |
dc.type | ConferenceObject | en_US |
dc.relation.conference | 36th Annual International Carnahan Conference on Security Technology | |
dc.relation.conference | 36th Annual 2002 Interntional Carnahan Conference on Security Technology | |
dc.identifier.scopus | 0036438654 | - |
dc.identifier.isi | 000179163100006 | - |
dcterms.isPartOf | 36Th Annual 2002 International Carnahan Conference On Security Technology, Proceedings | |
dcterms.source | 36Th Annual 2002 International Carnahan Conference On Security Technology, Proceedings, p. 39-42 | |
dc.contributor.authorscopusid | 55977824500 | - |
dc.contributor.authorscopusid | 6602376272 | - |
dc.contributor.authorscopusid | 57197530947 | - |
dc.contributor.authorscopusid | 55636321172 | - |
dc.description.lastpage | 42 | en_US |
dc.description.firstpage | 39 | en_US |
dc.investigacion | Ingeniería y Arquitectura | en_US |
dc.type2 | Actas de congresos | en_US |
dc.identifier.wos | WOS:000179163100006 | - |
dc.contributor.daisngid | 12117151 | - |
dc.contributor.daisngid | 33198583 | |
dc.contributor.daisngid | 265761 | - |
dc.contributor.daisngid | 4476234 | |
dc.contributor.daisngid | 929298 | - |
dc.contributor.daisngid | 233119 | - |
dc.identifier.investigatorRID | N-5967-2014 | - |
dc.identifier.investigatorRID | L-3863-2013 | - |
dc.utils.revision | Sí | en_US |
dc.contributor.wosstandard | WOS:Gomez, E | |
dc.contributor.wosstandard | WOS:Travieso, CM | |
dc.contributor.wosstandard | WOS:Briceno, JC | |
dc.contributor.wosstandard | WOS:Ferrer, MA | |
dc.date.coverdate | Enero 2002 | |
dc.identifier.conferenceid | events120333 | |
dc.identifier.ulpgc | Sí | es |
item.grantfulltext | none | - |
item.fulltext | Sin texto completo | - |
crisitem.author.dept | GIR IDeTIC: División de Procesado Digital de Señales | - |
crisitem.author.dept | IU para el Desarrollo Tecnológico y la Innovación | - |
crisitem.author.dept | Departamento de Señales y Comunicaciones | - |
crisitem.author.dept | GIR IDeTIC: División de Procesado Digital de Señales | - |
crisitem.author.dept | IU para el Desarrollo Tecnológico y la Innovación | - |
crisitem.author.dept | Departamento de Señales y Comunicaciones | - |
crisitem.author.orcid | 0000-0002-4621-2768 | - |
crisitem.author.orcid | 0000-0002-2924-1225 | - |
crisitem.author.parentorg | IU para el Desarrollo Tecnológico y la Innovación | - |
crisitem.author.parentorg | IU para el Desarrollo Tecnológico y la Innovación | - |
crisitem.author.fullName | Travieso González, Carlos Manuel | - |
crisitem.author.fullName | Ferrer Ballester, Miguel Ángel | - |
crisitem.event.eventsstartdate | 20-10-2002 | - |
crisitem.event.eventsstartdate | 20-10-2002 | - |
crisitem.event.eventsenddate | 24-10-2002 | - |
crisitem.event.eventsenddate | 24-10-2002 | - |
Appears in Collections: | Actas de congresos |
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