Zobrazeno 1 - 10
of 117
pro vyhledávání: '"Antonio Iula"'
Autor:
Antonio Iula, Monica Micucci
Publikováno v:
IEEE Access, Vol 10, Pp 7914-7925 (2022)
In recent years, multimodal biometric systems are increasingly employed in many application field due to several advantages in terms of universality, recognition rate. and security. Among various acquisition technologies, Ultrasound shows important m
Externí odkaz:
https://doaj.org/article/171a0ef552874ed590eebfadf786c5b9
Autor:
Monica Micucci, Antonio Iula
Publikováno v:
Sensors, Vol 23, Iss 7, p 3653 (2023)
Multimodal biometric systems are often used in a wide variety of applications where high security is required. Such systems show several merits in terms of universality and recognition rate compared to unimodal systems. Among several acquisition tech
Externí odkaz:
https://doaj.org/article/3e2d079416764289a218a1a1dcef7386
Autor:
Antonio Iula, Monica Micucci
Publikováno v:
IEEE Access, Vol 9, Pp 39746-39756 (2021)
Biometric recognition systems based on 3D palmprint captured with optical technology have been widely investigated in the last decade; however, they can provide information about the external skin surface only. This limit can be overcome by Ultrasoun
Externí odkaz:
https://doaj.org/article/95eca2aac0944807a06cc49e1623e7d3
Autor:
Antonio Iula, Alessia Vizzuso
Publikováno v:
Applied Sciences, Vol 12, Iss 16, p 8285 (2022)
Recognition systems based on palm veins are gaining increasing attention as they are highly distinctive and very hard to counterfeit. Most popular systems are based on infrared radiation; they have the merit to be contactless but can provide only 2D
Externí odkaz:
https://doaj.org/article/5538332fd37742c1b4e3644d47a75d56
Autor:
Antonio Iula
Publikováno v:
Sensors, Vol 19, Iss 10, p 2317 (2019)
Biometric recognition systems are finding applications in more and more civilian fields because they proved to be reliable and accurate. Among the other technologies, ultrasound has the main merit of acquiring 3D images, which allows it to provide mo
Externí odkaz:
https://doaj.org/article/4070f9c6445e4426a26048594d6a8b29
Autor:
Monica Micucci, Antonio Iula
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9783031257056
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f74720dcafcfd2c02a0f43f691f41e68
https://doi.org/10.1007/978-3-031-25706-3_25
https://doi.org/10.1007/978-3-031-25706-3_25
Autor:
Monica Micucci, Antonio Iula
Publikováno v:
2022 IEEE International Ultrasonics Symposium (IUS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::181f0955db02785e78117aa0c2a416ca
https://doi.org/10.1109/ius54386.2022.9957668
https://doi.org/10.1109/ius54386.2022.9957668
Autor:
Monica Micucci, Antonio Iula
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9783031081354
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7902d65dc8574c0c35817ff8f367f189
https://doi.org/10.1007/978-3-031-08136-1_26
https://doi.org/10.1007/978-3-031-08136-1_26
Autor:
Donatella Nardiello, Antonio Iula
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 68:4653-4662
In recent years, several palmprint recognition procedures that use 3-D information on the palm surface have been proposed in order to overcome some limitations of 2-D palmprint. However, 3-D optical images provide information on the external skin sur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c32169439cd8356caac43bdfde308752
https://doi.org/10.1109/tim.2019.2900177
https://doi.org/10.1109/tim.2019.2900177
Autor:
Monica Micucci, Antonio Iula
Publikováno v:
Electronics. 11:1800
Machine learning (ML) methods are pervading an increasing number of fields of application because of their capacity to effectively solve a wide variety of challenging problems. The employment of ML techniques in ultrasound imaging applications starte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d42c7b775251f61d693475ff0e443c0d
https://doi.org/10.3390/electronics11111800
https://doi.org/10.3390/electronics11111800