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100   $a20140220h20142014  uy             0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aSignal and image processing for biometrics /$fJacob Scharcanski, Hugo Proença, Eliza Du, editors
210  1$aBerlin :$cSpringer,$d[2014]
210  4$d©2014
215   $a1 online resource (336 pages) $cillustrations
225 1 $aLecture notes in electrical engineering,$x1876-1119 ;$vvolume 292
300   $aDescription based upon print version of record.
311 08$a3-642-54079-1 
320   $aIncludes bibliographical references.
327   $aData and Information Dimensionality in Non-Cooperative Face Recognition -- Remote Identification of Faces -- Recognizing Altered Facial Appearances Due to Aging and Disguise -- Using Score Fusion for Improving the Performance of Multispectral Face Recognition -- Unconstrained ear processing -- Feature Quality-based Unconstrained Eye Recognition -- Speed-invariant Gait Recognition -- Quality Induced Multi classifier Fingerprint Verification using Extended Feature Set -- Quality Measures for Online Handwritten Signatures -- Human tracking in non-cooperative scenarios.
330   $aThis volume offers a guide to the state of the art in the fast evolving field of biometric recognition to newcomers and experienced practitioners. It is focused on the emerging strategies to perform biometric recognition under uncontrolled data acquisition conditions. The mainstream research work in this field is presented in an organized manner, so the reader can easily follow the trends that best suits her/his interests in this growing field. The book chapters cover the recent advances in less controlled / covert data acquisition frameworks, segmentation of poor quality biometric data, biometric data quality assessment, normalization of poor quality biometric data. contactless biometric recognition strategies, biometric recognition robustness, data resolution, illumination, distance, pose, motion, occlusions, multispectral biometric recognition, multimodal biometrics, fusion at different levels, high confidence automatic surveillance.
410  0$aLecture notes in electrical engineering ;$vv. 292.
606   $aSignal processing
606   $aImage processing
606   $aSpeech processing systems
606   $aBiometrics (Biology)
606   $aSystem safety
606   $aSignal, Image and Speech Processing$3https://scigraph.springernature.com/ontologies/product-market-codes/T24051
606   $aBiometrics$3https://scigraph.springernature.com/ontologies/product-market-codes/I22040
606   $aSecurity Science and Technology$3https://scigraph.springernature.com/ontologies/product-market-codes/P31080
615  0$aSignal processing.
615  0$aImage processing.
615  0$aSpeech processing systems.
615  0$aBiometrics (Biology).
615  0$aSystem safety.
615 14$aSignal, Image and Speech Processing.
615 24$aBiometrics.
615 24$aSecurity Science and Technology.
676   $a006.37
676   $a570.1/5195
702   $aScharcanski$b Jacob$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aProença$b Hugo$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aDu$b Yingzi$f1975-$4edt$4http://id.loc.gov/vocabulary/relators/edt
906   $aBOOK
912   $a9910299713203321
996   $aSignal and Image Processing for Biometrics$91948587
997   $aUNINA