Zobrazeno 1 - 10
of 140
pro vyhledávání: '"Gomez‐Barrero, Marta"'
Autor:
Gomez-Barrero, Marta, Galbally, Javier
Publikováno v:
Elsevier Computers & Security, Volume 90, March 2020, 101700
With the widespread use of biometric recognition, several issues related to the privacy and security provided by this technology have been recently raised and analysed. As a result, the early common belief among the biometrics community of templates
Externí odkaz:
http://arxiv.org/abs/2401.02861
Publikováno v:
IEEE Transactions on Information Forensics and Security, vol. 13, no. 6, pp. 1406-1420, June 2018
The wide deployment of biometric recognition systems in the last two decades has raised privacy concerns regarding the storage and use of biometric data. As a consequence, the ISO/IEC 24745 international standard on biometric information protection h
Externí odkaz:
http://arxiv.org/abs/2311.04633
Iris recognition technology has attracted an increasing interest in the last decades in which we have witnessed a migration from research laboratories to real world applications. The deployment of this technology raises questions about the main vulne
Externí odkaz:
http://arxiv.org/abs/2111.12465
Autor:
Ibsen, Mathias, González-Soler, Lázaro J., Rathgeb, Christian, Drozdowski, Pawel, Gomez-Barrero, Marta, Busch, Christoph
Due to their convenience and high accuracy, face recognition systems are widely employed in governmental and personal security applications to automatically recognise individuals. Despite recent advances, face recognition systems have shown to be par
Externí odkaz:
http://arxiv.org/abs/2110.03464
Autor:
Tolosana, Ruben, Vera-Rodriguez, Ruben, Gonzalez-Garcia, Carlos, Fierrez, Julian, Morales, Aythami, Ortega-Garcia, Javier, Ruiz-Garcia, Juan Carlos, Romero-Tapiador, Sergio, Rengifo, Santiago, Caruana, Miguel, Jiang, Jiajia, Lai, Songxuan, Jin, Lianwen, Zhu, Yecheng, Galbally, Javier, Diaz, Moises, Ferrer, Miguel Angel, Gomez-Barrero, Marta, Hodashinsky, Ilya, Sarin, Konstantin, Slezkin, Artem, Bardamova, Marina, Svetlakov, Mikhail, Saleem, Mohammad, Szucs, Cintia Lia, Kovari, Bence, Pulsmeyer, Falk, Wehbi, Mohamad, Zanca, Dario, Ahmad, Sumaiya, Mishra, Sarthak, Jabin, Suraiya
Publikováno v:
Pattern Recognition, 2022
This article presents SVC-onGoing, an on-going competition for on-line signature verification where researchers can easily benchmark their systems against the state of the art in an open common platform using large-scale public databases, such as Dee
Externí odkaz:
http://arxiv.org/abs/2108.06090
Autor:
Tolosana, Ruben, Vera-Rodriguez, Ruben, Gonzalez-Garcia, Carlos, Fierrez, Julian, Rengifo, Santiago, Morales, Aythami, Ortega-Garcia, Javier, Ruiz-Garcia, Juan Carlos, Romero-Tapiador, Sergio, Jiang, Jiajia, Lai, Songxuan, Jin, Lianwen, Zhu, Yecheng, Galbally, Javier, Diaz, Moises, Ferrer, Miguel Angel, Gomez-Barrero, Marta, Hodashinsky, Ilya, Sarin, Konstantin, Slezkin, Artem, Bardamova, Marina, Svetlakov, Mikhail, Saleem, Mohammad, Szücs, Cintia Lia, Kovari, Bence, Pulsmeyer, Falk, Wehbi, Mohamad, Zanca, Dario, Ahmad, Sumaiya, Mishra, Sarthak, Jabin, Suraiya
Publikováno v:
Proc. International Conference on Document Analysis and Recognition 2021
This paper describes the experimental framework and results of the ICDAR 2021 Competition on On-Line Signature Verification (SVC 2021). The goal of SVC 2021 is to evaluate the limits of on-line signature verification systems on popular scenarios (off
Externí odkaz:
http://arxiv.org/abs/2106.00739
In the last decades, the broad development experienced by biometric systems has unveiled several threats which may decrease their trustworthiness. Those are attack presentations which can be easily carried out by a non-authorised subject to gain acce
Externí odkaz:
http://arxiv.org/abs/2103.01721
Autor:
Gomez-Barrero, Marta, Drozdowski, Pawel, Rathgeb, Christian, Patino, Jose, Todisco, Massimmiliano, Nautsch, Andras, Damer, Naser, Priesnitz, Jannis, Evans, Nicholas, Busch, Christoph
Since early 2020 the COVID-19 pandemic has had a considerable impact on many aspects of daily life. A range of different measures have been implemented worldwide to reduce the rate of new infections and to manage the pressure on national health servi
Externí odkaz:
http://arxiv.org/abs/2102.09258
Selfie-based biometrics has great potential for a wide range of applications since, e.g. periocular verification is contactless and is safe to use in pandemics such as COVID-19, when a major portion of a face is covered by a facial mask. Despite its
Externí odkaz:
http://arxiv.org/abs/2102.08449
Nowadays, fingerprint-based biometric recognition systems are becoming increasingly popular. However, in spite of their numerous advantages, biometric capture devices are usually exposed to the public and thus vulnerable to presentation attacks (PAs)
Externí odkaz:
http://arxiv.org/abs/2010.09566