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Titolo: |
Adaptive Biometric Systems : Recent Advances and Challenges / / edited by Ajita Rattani, Fabio Roli, Eric Granger
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Pubblicazione: | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
Edizione: | 1st ed. 2015. |
Descrizione fisica: | 1 online resource (141 p.) |
Disciplina: | 006.4 |
Soggetto topico: | Biometrics (Biology) |
Pattern recognition | |
Signal processing | |
Image processing | |
Speech processing systems | |
Artificial intelligence | |
Biometrics | |
Pattern Recognition | |
Signal, Image and Speech Processing | |
Artificial Intelligence | |
Persona (resp. second.): | RattaniAjita |
RoliFabio | |
GrangerEric | |
Note generali: | Description based upon print version of record. |
Nota di bibliografia: | Includes bibliographical references at the end of each chapters and index. |
Sommario/riassunto: | 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 challenges Reviews systems for adaptive face recognition that perform self-updating of facial models using operational (unlabeled) data Describes a novel semi-supervised training strategy known as fusion-based co-training Examines the characterization and recognition of human gestures in videos Discusses a selection of learning techniques that can be applied to build an adaptive biometric system Investigates procedures for handling temporal variance in facial biometrics due to aging Proposes a score-level fusion scheme for an adaptive multimodal biometric system This comprehensive text/reference will be of great interest to researchers and practitioners engaged in systems science, information security or biometrics. Postgraduate and final-year undergraduate students of computer engineering will also appreciate the coverage of intelligent and adaptive schemes for cutting-edge pattern recognition and signal processing in changing environments. |
Titolo autorizzato: | Adaptive Biometric Systems ![]() |
ISBN: | 3-319-24865-0 |
Formato: | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione: | Inglese |
Record Nr.: | 9910298963303321 |
Lo trovi qui: | Univ. Federico II |
Opac: | Controlla la disponibilità qui |