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001 978-3-030-27731-4
003 DE-He213
005 20240507154520.0
007 cr nn 008mamaa
008 191112s2020 sz | s |||| 0|eng d
020 _a9783030277314
_9978-3-030-27731-4
024 7 _a10.1007/978-3-030-27731-4
_2doi
050 4 _aTK7882.B56
072 7 _aUYQP
_2bicssc
072 7 _aCOM016000
_2bisacsh
072 7 _aUYQP
_2thema
082 0 4 _a006.248
_223
245 1 0 _aHandbook of Vascular Biometrics
_h[electronic resource] /
_cedited by Andreas Uhl, Christoph Busch, Sébastien Marcel, Raymond Veldhuis.
250 _a1st ed. 2020.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2020.
300 _aXVIII, 533 p. 197 illus., 149 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aAdvances in Computer Vision and Pattern Recognition,
_x2191-6594
505 0 _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.
506 0 _aOpen Access
520 _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.
650 0 _aBiometric identification.
650 0 _aData protection.
650 0 _aUser interfaces (Computer systems).
650 0 _aHuman-computer interaction.
650 1 4 _aBiometrics.
650 2 4 _aData and Information Security.
650 2 4 _aUser Interfaces and Human Computer Interaction.
700 1 _aUhl, Andreas.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aBusch, Christoph.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aMarcel, Sébastien.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aVeldhuis, Raymond.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030277307
776 0 8 _iPrinted edition:
_z9783030277321
776 0 8 _iPrinted edition:
_z9783030277338
830 0 _aAdvances in Computer Vision and Pattern Recognition,
_x2191-6594
856 4 0 _uhttps://doi.org/10.1007/978-3-030-27731-4
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
912 _aZDB-2-SOB
999 _c37374
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