Adaptive Biometric Systems
Recent Advances and Challenges
This timely and interdisciplinary volume presents a detailed overview of the latest advances and challenges remaining in the field of adaptive biometric systems. A broad range of techniques are provided from an international selection of pre-eminent authorities, collected together under a unified taxonomy and designed to be applicable to any pattern recognition system. Topics and features: Presents a thorough introduction to the concept of adaptive biometric systems, detailing their taxonomy, levels of adaptation, and open issues and challengesReviews systems for adaptive face recognition that perform self-updating of facial models using op…
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Produktdetails
Weitere Autoren: Roli, Fabio (Hrsg.) / Granger, Eric (Hrsg.)
- ISBN: 978-3-319-24865-3
- EAN: 9783319248653
- Produktnummer: 19056699
- Verlag: Springer-Verlag GmbH
- Sprache: Englisch
- Erscheinungsjahr: 2015
- Seitenangabe: 134 S.
- Plattform: PDF
- Masse: 4'141 KB
- Auflage: 1st ed. 2015
- Abbildungen: 20 schwarz-weiße und 24 farbige Abbildungen, 15 schwarz-weiße und 20 farbige Tabellen, Bibliographie
Über den Autor
Dr. Ajita Rattani is a post-doctoral fellow in the Integrated Pattern Recognition and Biometrics (i-PRoBe) lab at Michigan State University, East Lansing, MI, USA. Dr. Fabio Roli is a professor of computer engineering and the Director of the Pattern Recognition and Applications (PRA) lab at the University of Cagliari, Italy. Dr. Eric Granger is a professor in the Department of Automated Manufacturing Engineering and the Director of the Laboratory for Imagery, Vision and Artificial Intelligence at the École de technologie supérieure (ÉTS), Montréal, QC, Canada.
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