3D Hand Geometry Recognition

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F18%3APU130687" target="_blank" >RIV/00216305:26230/18:PU130687 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.springer.com/gp/book/9783319987330" target="_blank" >https://www.springer.com/gp/book/9783319987330</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-98734-7_4" target="_blank" >10.1007/978-3-319-98734-7_4</a>

Jazyk výsledku

angličtina

Název v původním jazyce

3D Hand Geometry Recognition

Popis výsledku v původním jazyce

Using 3D hand geometry biometrics solves the problem of low entropy presented by simple hand geometry biometrics. For it to become widespread however, there are challenges that need to be overcome. The approaches to capture the three-dimensional model of a hand at sufficient speed, quality costs are still being developed, as are the methods of identification based on the acquired data.  In this chapters, the current static acquisition approaches will be described, such as active triangulation via the structured light, the passive triangulation using multiple cameras and time of flight devices. Novel dynamic acquisition method utilizing line scan cameras will also be presented. With 3D hand geometry, we also can gain freedom regarding the hand position and orientation during acquisition. A depicture of feature extraction of 3D hand profile and their utilization will be presented.

Název v anglickém jazyce

3D Hand Geometry Recognition

Popis výsledku anglicky

Using 3D hand geometry biometrics solves the problem of low entropy presented by simple hand geometry biometrics. For it to become widespread however, there are challenges that need to be overcome. The approaches to capture the three-dimensional model of a hand at sufficient speed, quality costs are still being developed, as are the methods of identification based on the acquired data.  In this chapters, the current static acquisition approaches will be described, such as active triangulation via the structured light, the passive triangulation using multiple cameras and time of flight devices. Novel dynamic acquisition method utilizing line scan cameras will also be presented. With 3D hand geometry, we also can gain freedom regarding the hand position and orientation during acquisition. A depicture of feature extraction of 3D hand profile and their utilization will be presented.

Druh

C - Kapitola v odborné knize

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

<a href="/cs/project/LQ1602" target="_blank" >LQ1602: IT4Innovations excellence in science</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2018

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název knihy nebo sborníku

Biometric-Based Physical and Cybersecurity Systems

ISBN

978-3-319-98733-0

Počet stran výsledku

21

Strana od-do

103-123

Počet stran knihy

1000

Název nakladatele

Springer International Publishing

Místo vydání

Cham

Kód UT WoS kapitoly

—