LEADER 00730nam0-22002891i-450- 001 990003731410403321 005 20001010 010 $a88-15-05616-5 035 $a000373141 035 $aFED01000373141 035 $a(Aleph)000373141FED01 035 $a000373141 100 $a20000920d1998----km-y0itay50------ba 101 0 $aita 105 $ay-------001yy 200 1 $aPer mare e per terra$fE.J.Leed 210 $aBologna$cIl Mulino$d1998 215 $a338 p.$d23cm 700 1$aLeed,$bEric J.$0142664 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990003731410403321 952 $aN7.273$b7650$fDECTS 959 $aDECTS 996 $aPer mare e per terra$9501036 997 $aUNINA DB $aING01 LEADER 03521oam 22005773u 450 001 9910366659703321 005 20250628110029.0 010 $a3-030-27731-3 024 7 $a10.1007/978-3-030-27731-4 035 $a(CKB)4100000009844912 035 $a(DE-He213)978-3-030-27731-4 035 $a(MiAaPQ)EBC5978038 035 $a(Au-PeEL)EBL5978038 035 $a(OCoLC)1128096156 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/39036 035 $a(PPN)260303992 035 $a(ODN)ODN0010069196 035 $a(EXLCZ)994100000009844912 100 $a20191112d2020 uy 0 101 0 $aeng 135 $aurnn#---mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aHandbook of vascular biometrics /$feditors, Andreas Uhl [et al.] 205 $a1st edition 2020. 210 $aCham$cSpringer Nature$d2020 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020 215 $a1 online resource (XVIII, 533 p. 197 illus., 149 illus. in color.) 225 1 $aAdvances in Computer Vision and Pattern Recognition,$x2191-6586 311 1 $a3-030-27730-5 327 $a1. State of the Art in Vascular Biometrics -- 2. A High Quality Finger Vein Dataset Collected using a Custom Designed Capture Device -- 3. Open Vein - An Open Source Modular Multi-Purpose Finger-vein Scanner Design -- 4. An Available Open Source Vein Recognition Framework -- 5. Use Case of Palm Vein Authentication -- 6. Evolution of Finger Vein Biometric Devices in Terms of Usability. 7. Towards Understanding Acquisition Conditions Influencing Finger-Vein Recognition -- 8. Improved CNN-Segmentation based Finger-Vein Recognition Using Automatically Generated and Fused Training Labels -- 9. Efficient Identification in Large-Scale Vein Recognition Systems using Spectral Minutiae Representations -- 10. Different Views on the Finger - Score Level Fusion in Multi-Perspective vein Recognition. 330 $aThis open access handbook provides the first comprehensive overview of biometrics exploiting the shape of human blood vessels for biometric recognition, i.e. vascular biometrics, including finger vein recognition, hand/palm vein recognition, retina recognition, and sclera recognition. After an introductory chapter summarizing the state of the art in and availability of commercial systems and open datasets/open source software, individual chapters focus on specific aspects of one of the biometric modalities, including questions of usability, security, and privacy. The book features contributions from both academia and major industrial manufacturers. 410 0$aAdvances in Computer Vision and Pattern Recognition,$x2191-6586 606 $aBiometric identification$vHandbooks, manuals, etc 615 0$aBiometric identification 676 $a570.15195 676 $a006.2483 686 $aCOM016000$aCOM053000$aCOM070000$2bisacsh 700 $aUhl$b Andreas$4edt$0969128 702 $aUhl$b Andreas$f1968-$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aBusch$b Christoph$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMarcel$b Se?bastien$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aVeldhuis$b Raymond$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910366659703321 996 $aHandbook of vascular biometrics$93358692 997 $aUNINA