Driver Identification Using Ear Biometrics
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F18%3A00327225" target="_blank" >RIV/68407700:21260/18:00327225 - isvavai.cz</a>
Result on the web
<a href="http://www.icsai.org.cn/" target="_blank" >http://www.icsai.org.cn/</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ICSAI.2018.8599457" target="_blank" >10.1109/ICSAI.2018.8599457</a>
Alternative languages
Result language
angličtina
Original language name
Driver Identification Using Ear Biometrics
Original language description
The article deals with the biometric identification of drivers, using an ear thermogram. Samples are acquired using an IR camera and then further evaluated by an artificial neural network. Input image data is acquired from a standardized distance at 5 different angles and the effect of the settings of the artificial neural network on the result of successful driver identification is studied.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2018 5th International Conference on Systems and Informatics (ICSAI)
ISBN
978-1-7281-0120-0
ISSN
—
e-ISSN
—
Number of pages
5
Pages from-to
—
Publisher name
IEEE
Place of publication
Piscataway
Event location
Nanjing, China
Event date
Nov 10, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—