LEADER 05092nam 2201465z- 450 001 9910557789403321 005 20220111 035 $a(CKB)5400000000045494 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/76714 035 $a(oapen)doab76714 035 $a(EXLCZ)995400000000045494 100 $a20202201d2021 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aBiometric Systems 210 $aBasel, Switzerland$cMDPI - Multidisciplinary Digital Publishing Institute$d2021 215 $a1 online resource (352 p.) 311 08$a3-0365-1128-8 311 08$a3-0365-1129-6 330 $aBecause of the accelerating progress in biometrics research and the latest nation-state threats to security, this book's publication is not only timely but also much needed. This volume contains seventeen peer-reviewed chapters reporting the state of the art in biometrics research: security issues, signature verification, fingerprint identification, wrist vascular biometrics, ear detection, face detection and identification (including a new survey of face recognition), person re-identification, electrocardiogram (ECT) recognition, and several multi-modal systems. This book will be a valuable resource for graduate students, engineers, and researchers interested in understanding and investigating this important field of study. 606 $aTechnology: general issues$2bicssc 610 $aassessment 610 $aaugmented signature 610 $aautism spectrum disorder (ASD) 610 $aautomatic recognition 610 $aautomatic signature verification 610 $abiomarker 610 $abiometric recognition 610 $abiometric recognition performance evaluation 610 $abiometric systems 610 $abiometry 610 $abit planes 610 $ablock 610 $abloodstream 610 $abody motion 610 $acontactless acquisition device 610 $acontactless dataset 610 $across-device 610 $acurve similarity 610 $acurve similarity model 610 $acurve similarity transformation 610 $adata quality 610 $adeep learning 610 $adepth map ensemble 610 $adorsal hand vein recognition 610 $aear detection 610 $aECG 610 $aenrollment phase 610 $aevolutionary computation 610 $aface 610 $aface detection 610 $aface recognition systems 610 $aface verification 610 $afiltering 610 $afinger features 610 $afinger vein recognition 610 $afingerprint 610 $afunction features 610 $aGabor filter 610 $aGaussian mixture model 610 $ageometric deep learning 610 $ahand vein recognition 610 $aHausdorff distance 610 $ahuman identification 610 $aidentification 610 $aimage classification 610 $aimage covariates 610 $aimage quality assessment 610 $aimage recognition 610 $ainfrared camera 610 $aintervention 610 $aLGS 610 $alocal coding 610 $aLviv Biometric Dataset 610 $amachine learning 610 $amobile conditions 610 $amulti-biometrics 610 $amultimodal recognition 610 $amutual information 610 $anon-contact devices 610 $aonline signature verification 610 $aoptical correlation 610 $aOriented FAST and Rotated BRIEF (ORB) 610 $apattern recognition 610 $aperformance assessment 610 $aperson identification 610 $aperson re-identification 610 $aPhysionet 610 $apresentation attack detection 610 $apublic vascular pattern dataset 610 $aquality filtering 610 $arotation equivariance 610 $aSC-DTW 610 $aScale-Invariant Feature Transform (SIFT®) 610 $asecurity enhancement 610 $asegmentation matching 610 $asemantic segmentation 610 $ashape contexts 610 $asimilarity distance 610 $aSpeeded Up Robust Features (SURF®) 610 $astructured prediction 610 $asuperpixel 610 $asuperpixels 610 $asurvey 610 $asymbolic representation 610 $atemporally aligned pooling 610 $atouch-screen sensor 610 $atwo-stage method 610 $avascular biometric recognition 610 $avisible light iris images 610 $avoice 610 $awalking cycle 610 $awrist vein recognition 615 7$aTechnology: general issues 700 $aNanni$b Loris$4edt$01279133 702 $aBerlin Brahnam$b Sheryl$4edt 702 $aNanni$b Loris$4oth 702 $aBerlin Brahnam$b Sheryl$4oth 906 $aBOOK 912 $a9910557789403321 996 $aBiometric Systems$93014640 997 $aUNINA