04395nam 22007695 450 991029896330332120200706084722.03-319-24865-010.1007/978-3-319-24865-3(CKB)3710000000494204(EBL)4068160(SSID)ssj0001584206(PQKBManifestationID)16263155(PQKBTitleCode)TC0001584206(PQKBWorkID)14866366(PQKB)11155260(DE-He213)978-3-319-24865-3(MiAaPQ)EBC4068160(PPN)190533218(EXLCZ)99371000000049420420151022d2015 u| 0engur|n|---|||||txtccrAdaptive Biometric Systems Recent Advances and Challenges /edited by Ajita Rattani, Fabio Roli, Eric Granger1st ed. 2015.Cham :Springer International Publishing :Imprint: Springer,2015.1 online resource (141 p.)Advances in Computer Vision and Pattern Recognition,2191-6586Description based upon print version of record.3-319-24863-4 Includes bibliographical references at the end of each chapters and index.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.Advances in Computer Vision and Pattern Recognition,2191-6586Biometrics (Biology)Pattern recognitionSignal processingImage processingSpeech processing systemsArtificial intelligenceBiometricshttps://scigraph.springernature.com/ontologies/product-market-codes/I22040Pattern Recognitionhttps://scigraph.springernature.com/ontologies/product-market-codes/I2203XSignal, Image and Speech Processinghttps://scigraph.springernature.com/ontologies/product-market-codes/T24051Artificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Biometrics (Biology).Pattern recognition.Signal processing.Image processing.Speech processing systems.Artificial intelligence.Biometrics.Pattern Recognition.Signal, Image and Speech Processing.Artificial Intelligence.006.4Rattani Ajitaedthttp://id.loc.gov/vocabulary/relators/edtRoli Fabioedthttp://id.loc.gov/vocabulary/relators/edtGranger Ericedthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK9910298963303321Adaptive Biometric Systems2534950UNINA