State of the Art in Vascular Biometrics
作者： Andreas Uhl
DOI: 10.1007/978-3-030-27731-4_1
关键词: Vein recognition 、 Palm vein 、 Finger vein recognition 、 Hand vein 、 Toolchain 、 Biometrics 、 Human–computer interaction 、 Software 、 State (computer science) 、 Computer science
摘要: The investigation of vascular biometric traits has become increasingly popular during the last years. This book chapter provides a comprehensive discussion respective state art, covering hand-oriented techniques (finger vein, palm (dorsal) hand vein and wrist recognition) as well eye-oriented (retina sclera recognition). We discuss commercial sensors systems, major algorithmic approaches in recognition toolchain, available datasets, public competitions open-source software, template protection schemes, presentation attack(s) (detection), sample quality assessment, mobile acquisition on move, finally eventual disease impact privacy issues.
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