You are in the accessibility menu

Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/71031
Full metadata record
DC FieldValueLanguage
dc.contributor.authorPenteado, Bruno Elias-
dc.contributor.authorMarana, Aparecido Nilceu-
dc.date.accessioned2014-05-27T11:23:55Z-
dc.date.accessioned2016-10-25T18:27:04Z-
dc.date.available2014-05-27T11:23:55Z-
dc.date.available2016-10-25T18:27:04Z-
dc.date.issued2009-06-02-
dc.identifierhttp://dx.doi.org/10.1007/978-3-642-01347-8_64-
dc.identifier.citationLecture Notes in Business Information Processing, v. 24 LNBIP, p. 770-779.-
dc.identifier.issn1865-1348-
dc.identifier.urihttp://hdl.handle.net/11449/71031-
dc.identifier.urihttp://acervodigital.unesp.br/handle/11449/71031-
dc.description.abstractIn the last years there was an exponential growth in the offering of Web-enabled distance courses and in the number of enrolments in corporate and higher education using this modality. However, the lack of efficient mechanisms that assures user authentication in this sort of environment, in the system login as well as throughout his session, has been pointed out as a serious deficiency. Some studies have been led about possible biometric applications for web authentication. However, password based authentication still prevails. With the popularization of biometric enabled devices and resultant fall of prices for the collection of biometric traits, biometrics is reconsidered as a secure remote authentication form for web applications. In this work, the face recognition accuracy, captured on-line by a webcam in Internet environment, is investigated, simulating the natural interaction of a person in the context of a distance course environment. Partial results show that this technique can be successfully applied to confirm the presence of users throughout the course attendance in an educational distance course. An efficient client/server architecture is also proposed. © 2009 Springer Berlin Heidelberg.en
dc.format.extent770-779-
dc.language.isoeng-
dc.sourceScopus-
dc.subjectBiometrics-
dc.subjectE-Learning-
dc.subjectFace recognition-
dc.subjectWeb authentication-
dc.subjectBiometric applications-
dc.subjectBiometric authentication-
dc.subjectBiometric traits-
dc.subjectClient/server architecture-
dc.subjectDistance course-
dc.subjectExponential growth-
dc.subjectHigher education-
dc.subjectInternet environment-
dc.subjectNatural interactions-
dc.subjectPassword-based authentication-
dc.subjectRecognition accuracy-
dc.subjectRemote authentication-
dc.subjectUser authentication-
dc.subjectWEB application-
dc.subjectE-learning-
dc.subjectEducation-
dc.subjectInformation systems-
dc.subjectMultimedia systems-
dc.subjectWorld Wide Web-
dc.subjectAuthentication-
dc.titleA video-based biometric authentication for e-learning web applicationsen
dc.typeoutro-
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)-
dc.description.affiliationDepartment of Computing School of Sciences UNESP - São Paulo State University, Bauru Av. Edmundo Carrijo Coube, 14-01, São Paulo 17013360-
dc.description.affiliationUnespDepartment of Computing School of Sciences UNESP - São Paulo State University, Bauru Av. Edmundo Carrijo Coube, 14-01, São Paulo 17013360-
dc.identifier.doi10.1007/978-3-642-01347-8_64-
dc.identifier.wosWOS:000267425300064-
dc.rights.accessRightsAcesso restrito-
dc.relation.ispartofLecture Notes in Business Information Processing-
dc.identifier.scopus2-s2.0-66049111971-
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

There are no files associated with this item.
 

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.