Contactless biometric hand geometry recognition using a low-cost 3D camera
The result's identifiers
Result code in 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>
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
Contactless biometric hand geometry recognition using a low-cost 3D camera
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/ED1.1.00%2F02.0070" target="_blank" >ED1.1.00/02.0070: IT4Innovations Centre of Excellence</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings 2015 International Conference on Biometrics
ISBN
978-1-4799-7824-3
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
452-457
Publisher name
IEEE Biometric Council
Place of publication
Phuket
Event location
Phuket
Event date
May 19, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000380516600070