Finger image quality assessment features - definitions and evaluation
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F16%3APU136051" target="_blank" >RIV/00216305:26230/16:PU136051 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/7475528" target="_blank" >https://ieeexplore.ieee.org/document/7475528</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1049/iet-bmt.2014.0055" target="_blank" >10.1049/iet-bmt.2014.0055</a>
Alternative languages
Result language
angličtina
Original language name
Finger image quality assessment features - definitions and evaluation
Original language description
Finger image quality assessment is a crucial part of any system where a high biometric performance and user satisfaction is desired. Several algorithms measuring selected aspects of finger image quality have been proposed in the literature, yet only few of them have found their way into quality assessment algorithms used in practice. The authors provide comprehensive algorithm descriptions and make available implementations of adaptations of ten quality assessment algorithms from the literature which operates at the local or the global image level. They evaluate the performance on four datasets in terms of the capability in determining samples causing false non-matches and by their Spearman correlation with sample utility. The authors' evaluation shows that both the capability in rejecting samples causing false non-matches and the correlation between features varies depending on the dataset.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
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/LD14013" target="_blank" >LD14013: New solutions for multimodal biometrics ? enhancement of security and reliability of biometric technologies</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
IET Biometrics
ISSN
2047-4938
e-ISSN
2047-4946
Volume of the periodical
5
Issue of the periodical within the volume
2
Country of publishing house
GB - UNITED KINGDOM
Number of pages
18
Pages from-to
47-64
UT code for WoS article
000376976100002
EID of the result in the Scopus database
2-s2.0-84971441902