Multimodal biometric recognition systems using deep learning based on the finger vein and finger knuckle print fusion

Autor: Sara Daas, Amira Yahi, Toufik Bakir, Mouna Sedhane, Mohamed Boughazi, El‐Bay Bourennane

Publikováno v: IET Image Processing, Vol 14, Iss 15, Pp 3859-3868 (2020)

Recognition systems using multimodal biometrics attracts attention because they improve recognition efficiency and high‐security level compared to the unimodal biometrics system. In this study, the authors present a secure multimodal biometrics rec

Externí odkaz: https://doaj.org/article/04eb97d3bb254ed48daeb877f61b27c8

Multimodal biometric recognition systems using deep learning based on the finger vein and finger knuckle print fusion

Autor: Amira Yahi, Toufik Bakir, El-Bay Bourennane, Mouna Sedhane, Mohamed Boughazi, Sara Daas

Publikováno v: IET Image Processing. 14:3859-3868

Recognition systems using multimodal biometrics attracts attention because they improve recognition efficiency and high-security level compared to the unimodal biometrics system. In this study, the authors present a secure multimodal biometrics recog

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a9e93b1b28f69150ae867cb63f4c7adc
https://doi.org/10.1049/iet-ipr.2020.0491

A review of finger vein biometrics authentication System

Autor: Mohamed Boughazi, Badreddine Bouledjfane, Sara Daas, Mouna Sedhane

Publikováno v: 2018 International Conference on Applied Smart Systems (ICASS).

In nowadays, with the fast development in the field of electronic information technology, the identity verification and security of data is a critical main problem. Due to this fact, the biometric recognition has gaining popularity as it provides a h

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::800e98f75dbf8449ada5167881107e9c
https://doi.org/10.1109/icass.2018.8652005

Multimodal Biometric Recognition Network Base on Spatial-temporal Fingerprint and Finger Vein (STMFPFV-Net) Features.

Autor: Abdullahi, Sunusi Bala, Bature, Zakariyya Abdullahi, Muhammad, Auwal

Publikováno v: International Journal of Design, Analysis & Tools for Integrated Circuits & Systems; Dec2022, Vol. 11 Issue 2, p43-47, 5p

Investigation of the exchange-correlation potential of functionals based on the adiabatic connection interpolation

Autor: Paola Gori-Giorgi, Sara Giarrusso, Ireneusz Grabowski, Timothy J. Daas, Eduardo Fabiano, Szymon Śmiga, Fabio Della Sala

Publikováno v: Journal of chemical theory and computation 15 (2019): 1006–1015. doi:10.1021/acs.jctc.8b01037
info:cnr-pdr/source/autori:Fabiano, Eduardo; Smiga, Szymon; Giarrusso, Sara; Daas, Timothy J.; Della Sala, Fabio; Grabowski, Ireneusz; Gori-Giorgi, Paola/titolo:Investigation of the Exchange-Correlation Potentials of Functionals Based on the Adiabatic Connection Interpolation/doi:10.1021%2Facs.jctc.8b01037/rivista:Journal of chemical theory and computation/anno:2019/pagina_da:1006/pagina_a:1015/intervallo_pagine:1006–1015/volume:15
Journal of Chemical Theory and Computation

We have studied the correlation potentials produced by various adiabatic connection models (ACM) for several atoms and molecules. The results have been compared to accurate reference potentials (coupled cluster and quantum Monte Carlo results) as wel

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bf4c94fb048ab24576bfb8c29b0a6086