Zobrazeno 1 - 10
of 56
pro vyhledávání: '"IRIS VERIFICATION"'
Publikováno v:
Sensors, Vol 22, Iss 20, p 7723 (2022)
Biometric recognition technology has been widely used in various fields of society. Iris recognition technology, as a stable and convenient biometric recognition technology, has been widely used in security applications. However, the iris images coll
Externí odkaz:
https://doaj.org/article/42791a5219e84ef7a384ea75f3f6474b
Akademický článek
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Publikováno v:
Scalable Computing: Practice and Experience. 22:273-282
In today's world technology has advanced to such an extent that it is interchangeable with connection and convenience. ATM was one of the major breakthroughs, and over the time it has provided better convenience in fulfilling one’s banking needs. A
Akademický článek
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Autor:
Javier Ortega-Garcia, Javier Galbally, Julian Fierrez, Fernando Alonso-Fernandez, Virginia Ruiz-Albacete, Pedro Tome-Gonzalez
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540899907
BIOID
BIOID
In this contribution, the vulnerabilities of iris-based recognition systems to direct attacks are studied. A database of fake iris images has been created from real iris of the BioSec baseline database. Iris images are printed using a commercial prin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b09f760483dc78477e3d3504294a1600
Publikováno v:
GCCE
Biometrics is an automatic identification process that measures unique human characteristics such as iris recognition. Recently, with the development of machine learning technology, various new iris verification algorithms have been developed. In thi
Autor:
Konovalova, V. P.
This article briefly describes the definition and the purpose of biometrics security systems. After the description of this security field, a brief overview of existing iris recognition system in automated teller machines was given. В данной
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______917::56d1d08763569ebf6dd882930c4fdbbc
https://hdl.handle.net/10995/84235
https://hdl.handle.net/10995/84235
Conference
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Publikováno v:
RACS
Iris verification is considered to be the safest method of biometric identification, but it has been shown that iris features may be illegally used. In order to preserve the iris features and further improve the security of iris recognition, we prese
Autor:
Radim Spetlik, Ivan Razumenic
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030336752
GCPR
GCPR
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 bas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::29036c3174be6808f58e1fbbf9ad873b
https://doi.org/10.1007/978-3-030-33676-9_19
https://doi.org/10.1007/978-3-030-33676-9_19