Detailed Information on Publication Record
2022
Three-Dimensional Finger Vein Recognition: A Novel Mirror-Based Imaging Device
KAUBA, Christof, Martin DRAHANSKÝ, Marie NOVÁKOVÁ, Andreas UHL, Štěpán RYDLO et. al.Basic information
Original name
Three-Dimensional Finger Vein Recognition: A Novel Mirror-Based Imaging Device
Authors
KAUBA, Christof, Martin DRAHANSKÝ (203 Czech Republic), Marie NOVÁKOVÁ (203 Czech Republic, belonging to the institution), Andreas UHL and Štěpán RYDLO (203 Czech Republic)
Edition
Journal of Imaging, Basel, MDPI, 2022, 2313-433X
Other information
Language
English
Type of outcome
Článek v odborném periodiku
Field of Study
30105 Physiology
Country of publisher
Switzerland
Confidentiality degree
není předmětem státního či obchodního tajemství
References:
Impact factor
Impact factor: 3.200
RIV identification code
RIV/00216224:14110/22:00129465
Organization unit
Faculty of Medicine
UT WoS
000801524800001
Keywords in English
finger vein recognition; 3D vascular pattern recognition; multi-perspective finger vein capturing device; mirror-based capturing device; state-of-the-art
Tags
International impact, Reviewed
Změněno: 19/7/2022 13:20, Mgr. Tereza Miškechová
Abstract
V originále
Finger vein recognition has evolved into a major biometric trait in recent years. Despite various improvements in recognition accuracy and usability, finger vein recognition is still far from being perfect as it suffers from low-contrast images and other imaging artefacts. Three-dimensional or multi-perspective finger vein recognition technology provides a way to tackle some of the current problems, especially finger misplacement and rotations. In this work we present a novel multi-perspective finger vein capturing device that is based on mirrors, in contrast to most of the existing devices, which are usually based on multiple cameras. This new device only uses a single camera, a single illumination module and several mirrors to capture the finger at different rotational angles. To derive the need for this new device, we at first summarise the state of the art in multi-perspective finger vein recognition and identify the potential problems and shortcomings of the current devices.
Links
TL02000134, research and development project |
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