Multimodal biometric authentication using quality signals in mobile communications
2003 (English)In: Proceedings - 12th International Conference on Image Analysis and Processing, ICIAP 2003, Los Alamitos, USA: IEEE Computer Society, 2003, p. 2-11Conference paper, Published paper (Other academic)
Abstract [en]
The elements of multimodal authentication along with system models are presented. These include the machine experts as well as machine supervisors. In particular fingerprint and speech based systems will serve as illustration of a mobile authentication application. A novel signal adaptive supervisor, based on the input biometric signal quality is evaluated. Experimental results on data collected from mobile telephones are reported demonstrating the benefits of the proposed scheme. © 2003 IEEE.
Place, publisher, year, edition, pages
Los Alamitos, USA: IEEE Computer Society, 2003. p. 2-11
Keywords [en]
Authentication, Biometrics, Classification tree analysis, Decision trees, Feature extraction, Fingerprint recognition, Mobile communication, Neural networks, Pattern recognition, Speech
National Category
Computer and Information Sciences Mechanical Engineering
Identifiers
URN: urn:nbn:se:hh:diva-14918DOI: 10.1109/ICIAP.2003.1234017ISI: 000186110200001Scopus ID: 2-s2.0-84890502604ISBN: 0-7695-1948-2 OAI: oai:DiVA.org:hh-14918DiVA, id: diva2:408405
Conference
12th International Conference on Image Analysis and Processing, ICIAP 2003, Mantova, Italy, 17 - 19 September, 2003
Note
©2003 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
2011-04-042011-04-042022-09-13Bibliographically approved