Iris Verification with Convolutional Neural Network and Unit-Circle Layer
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F19%3A00336753" target="_blank" >RIV/68407700:21230/19:00336753 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-030-33676-9_19" target="_blank" >http://dx.doi.org/10.1007/978-3-030-33676-9_19</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-33676-9_19" target="_blank" >10.1007/978-3-030-33676-9_19</a>
Alternative languages
Result language
angličtina
Original language name
Iris Verification with Convolutional Neural Network and Unit-Circle Layer
Original language description
We propose a novel convolutional neural network to verify a match between two normalized images of the human iris. The network is trained end-to-end and validated on three publicly available datasets yielding state-of-the-art results against four baseline methods. The network performs better by a 10% margin to the state-of-the-art method on the CASIA.v4 dataset. In the network, we use a novel “Unit-Circle” layer which replaces the Gabor-filtering step in a common iris-verification pipeline. We show that the layer improves the performance of the model up to 15% on previously-unseen data.
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/EF16_019%2F0000765" target="_blank" >EF16_019/0000765: Research Center for Informatics</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
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
DAGM GCPR 2019
ISBN
978-3-030-33675-2
ISSN
0302-9743
e-ISSN
0302-9743
Number of pages
14
Pages from-to
274-287
Publisher name
Springer
Place of publication
Cham
Event location
Dortmund
Event date
Sep 10, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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