Unsupervised detection of non-iris occlusions
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F15%3A00444723" target="_blank" >RIV/67985556:_____/15:00444723 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21240/15:00240483
Result on the web
<a href="http://dx.doi.org/10.1016/j.patrec.2015.02.012" target="_blank" >http://dx.doi.org/10.1016/j.patrec.2015.02.012</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.patrec.2015.02.012" target="_blank" >10.1016/j.patrec.2015.02.012</a>
Alternative languages
Result language
angličtina
Original language name
Unsupervised detection of non-iris occlusions
Original language description
This paper presents a fast precise unsupervised iris defects detection method based on the underlying multispectral spatial probabilistic iris textural model and adaptive thresholding applied to demanding high resolution mobile device measurements. The accurate detection of iris eyelids and reflections is the prerequisite for the accurate iris recognition, both in near-infrared or visible spectrum measurements. The model adaptively learns its parameters on the iris texture part and subsequently checks for iris reflections using the recursive prediction analysis. The method is developed for color eye images from unconstrained mobile devices but it was also successfully tested on the UBIRIS v2 eye database. Our method ranked first from the 97+1 recent Noisy Iris Challenge Evaluation contest alternative methods on this large color iris database using the exact contest data and methodology.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
BD - Information theory
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GA14-10911S" target="_blank" >GA14-10911S: Mathematical modeling of surface material appearance</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Pattern Recognition Letters
ISSN
0167-8655
e-ISSN
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Volume of the periodical
57
Issue of the periodical within the volume
5
Country of publishing house
NL - THE KINGDOM OF THE NETHERLANDS
Number of pages
6
Pages from-to
60-65
UT code for WoS article
000353350200008
EID of the result in the Scopus database
2-s2.0-84939997157