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010   $a3-319-24865-0
024 7 $a10.1007/978-3-319-24865-3
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035   $a(EBL)4068160
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035   $a(PQKBTitleCode)TC0001584206
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035   $a(DE-He213)978-3-319-24865-3
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100   $a20151022d2015      u|         0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 10$aAdaptive Biometric Systems $eRecent Advances and Challenges /$fedited by Ajita Rattani, Fabio Roli, Eric Granger
205   $a1st ed. 2015.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2015.
215   $a1 online resource (141 p.)
225 1 $aAdvances in Computer Vision and Pattern Recognition,$x2191-6586
300   $aDescription based upon print version of record.
311   $a3-319-24863-4 
320   $aIncludes bibliographical references at the end of each chapters and index.
330   $aThis timely and interdisciplinary volume presents a detailed overview of the latest advances and challenges remaining in the field of adaptive biometric systems. A broad range of techniques are provided from an international selection of pre-eminent authorities, collected together under a unified taxonomy and designed to be applicable to any pattern recognition system. Topics and features: Presents a thorough introduction to the concept of adaptive biometric systems, detailing their taxonomy, levels of adaptation, and open issues and challenges Reviews systems for adaptive face recognition that perform self-updating of facial models using operational (unlabeled) data Describes a novel semi-supervised training strategy known as fusion-based co-training Examines the characterization and recognition of human gestures in videos Discusses a selection of learning techniques that can be applied to build an adaptive biometric system Investigates procedures for handling temporal variance in facial biometrics due to aging Proposes a score-level fusion scheme for an adaptive multimodal biometric system This comprehensive text/reference will be of great interest to researchers and practitioners engaged in systems science, information security or biometrics. Postgraduate and final-year undergraduate students of computer engineering will also appreciate the coverage of intelligent and adaptive schemes for cutting-edge pattern recognition and signal processing in changing environments.
410  0$aAdvances in Computer Vision and Pattern Recognition,$x2191-6586
606   $aBiometrics (Biology)
606   $aPattern recognition
606   $aSignal processing
606   $aImage processing
606   $aSpeech processing systems
606   $aArtificial intelligence
606   $aBiometrics$3https://scigraph.springernature.com/ontologies/product-market-codes/I22040
606   $aPattern Recognition$3https://scigraph.springernature.com/ontologies/product-market-codes/I2203X
606   $aSignal, Image and Speech Processing$3https://scigraph.springernature.com/ontologies/product-market-codes/T24051
606   $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000
615  0$aBiometrics (Biology).
615  0$aPattern recognition.
615  0$aSignal processing.
615  0$aImage processing.
615  0$aSpeech processing systems.
615  0$aArtificial intelligence.
615 14$aBiometrics.
615 24$aPattern Recognition.
615 24$aSignal, Image and Speech Processing.
615 24$aArtificial Intelligence.
676   $a006.4
702   $aRattani$b Ajita$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aRoli$b Fabio$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aGranger$b Eric$4edt$4http://id.loc.gov/vocabulary/relators/edt
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910298963303321
996   $aAdaptive Biometric Systems$92534950
997   $aUNINA