Contactless biometric hand geometry recognition using a low-cost 3D camera
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F15%3APU116977" target="_blank" >RIV/00216305:26230/15:PU116977 - isvavai.cz</a>
Výsledek na webu
<a href="http://dx.doi.org/10.1109/ICB.2015.7139109" target="_blank" >http://dx.doi.org/10.1109/ICB.2015.7139109</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ICB.2015.7139109" target="_blank" >10.1109/ICB.2015.7139109</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Contactless biometric hand geometry recognition using a low-cost 3D camera
Popis výsledku v původním jazyce
In the past decade, the interest in using 3D data for biometric person authentication has increased significantly, propelled by the availability of affordable 3D sensors. The adoption of 3D features has been especially successful in face recognition applications, leading to several commercial 3D face recognition products. In other biometric modalities such as hand recognition, several studies have shown the potential advantage of using 3D geometric information, however, no commercial-grade systems are currently available. In this paper, we present a contactless 3D hand recognition system based on the novel Intel RealSense camera, the first mass-produced embeddable 3D sensor. The small form factor and low cost make this sensor especially appealing for commercial biometric applications, however, they come at the price of lower resolution compared to more expensive 3D scanners used in previous research. We analyze the robustness of several existing 2D and 3D features that can be extracted from the images captured by the RealSense camera and study the use of metric learning for their fusion.
Název v anglickém jazyce
Contactless biometric hand geometry recognition using a low-cost 3D camera
Popis výsledku anglicky
In the past decade, the interest in using 3D data for biometric person authentication has increased significantly, propelled by the availability of affordable 3D sensors. The adoption of 3D features has been especially successful in face recognition applications, leading to several commercial 3D face recognition products. In other biometric modalities such as hand recognition, several studies have shown the potential advantage of using 3D geometric information, however, no commercial-grade systems are currently available. In this paper, we present a contactless 3D hand recognition system based on the novel Intel RealSense camera, the first mass-produced embeddable 3D sensor. The small form factor and low cost make this sensor especially appealing for commercial biometric applications, however, they come at the price of lower resolution compared to more expensive 3D scanners used in previous research. We analyze the robustness of several existing 2D and 3D features that can be extracted from the images captured by the RealSense camera and study the use of metric learning for their fusion.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
—
OECD FORD obor
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Návaznosti výsledku
Projekt
<a href="/cs/project/ED1.1.00%2F02.0070" target="_blank" >ED1.1.00/02.0070: Centrum excelence IT4Innovations</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2015
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
Proceedings 2015 International Conference on Biometrics
ISBN
978-1-4799-7824-3
ISSN
—
e-ISSN
—
Počet stran výsledku
6
Strana od-do
452-457
Název nakladatele
IEEE Biometric Council
Místo vydání
Phuket
Místo konání akce
Phuket
Datum konání akce
19. 5. 2015
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
000380516600070