Zobrazeno 1 - 10
of 153
pro vyhledávání: '"Raul Sanchez-Reillo"'
Publikováno v:
IEEE Access, Vol 11, Pp 22060-22080 (2023)
In October 2020, Google researchers present a promising Deep Learning architecture paradigm for Computer Vision that outperforms the already standard Convolutional Neural Networks (CNNs) on multiple image recognition state-of-the-art datasets: Vision
Externí odkaz:
https://doaj.org/article/798d2d19c0e044b0b268c45faf7248f1
Publikováno v:
IEEE Access, Vol 9, Pp 98812-98832 (2021)
The ongoing COVID-19 pandemic has pointed out, even more, the important need for hygiene contactless biometric recognition systems. Vein-based devices are great non-contact options although they have not been entirely well-integrated in daily life. I
Externí odkaz:
https://doaj.org/article/7cf47a0b904d4bb7b53a5f800c553d88
Publikováno v:
IEEE Access, Vol 8, Pp 104801-104813 (2020)
Human recognition on smartphone devices for unlocking, online payment, and bank account verification is one of the significant uses of biometrics. The exponential development and integration of this technology have been established since the introduc
Externí odkaz:
https://doaj.org/article/b7dddc9843af4bf2a2c8d08d17de484a
Publikováno v:
IEEE Access, Vol 8, Pp 95594-95604 (2020)
Fingerprint recognition systems have proven significant performance in many services such as forensics, border control, and mobile applications. Even though fingerprint systems have shown high accuracy and user acceptance, concerns have raised questi
Externí odkaz:
https://doaj.org/article/6c1384cc955a4b25b6c4a50e139ea1a5
Publikováno v:
IEEE Access, Vol 8, Pp 11152-11164 (2020)
As a consequence of the wide deployment of biometrics-based recognition systems, there are increasing concerns about the security of the sensitive information managed. Various techniques have been proposed in the literature for the biometric template
Externí odkaz:
https://doaj.org/article/be23898d0fe0455aacd06d4cc2b4db69
Publikováno v:
IEEE Access, Vol 7, Pp 7184-7193 (2019)
Biometric recognition is already a big player in how we interact with our phones and access control systems. This is a result of its comfort of use, speed, and security. For the case of border control, it eases the task of person identification and b
Externí odkaz:
https://doaj.org/article/15ad3791df4f44e383151d8759894ec1
Publikováno v:
Heliyon, Vol 7, Iss 2, Pp e06270- (2021)
Currently, there exist different technologies applied in the world of medicine dedicated to the detection of health problems such as cancer, heart diseases, etc. However, these technologies are not applied to the detection of lower body pathologies.
Externí odkaz:
https://doaj.org/article/54a48b30b2d547619a7b80e6d3df1dad
Publikováno v:
IEEE Access, Vol 6, Pp 34149-34157 (2018)
Forensic examination of handwritten signatures is an important task that has been used to resolve conflicts for centuries. The incorporation of new technologies into the process of signing documents has created new challenges for this task. In partic
Externí odkaz:
https://doaj.org/article/502957c4cb64484c97f16a299d2f9269
Publikováno v:
Applied Sciences, Vol 11, Iss 17, p 7883 (2021)
Fingerprint recognition systems have been widely deployed in authentication and verification applications, ranging from personal smartphones to border control systems. Recently, the biometric society has raised concerns about presentation attacks tha
Externí odkaz:
https://doaj.org/article/35335179a036475097b36e33533adc68
Publikováno v:
Applied Sciences, Vol 11, Iss 13, p 5880 (2021)
Nowadays, Deep Learning tools have been widely applied in biometrics. Electrocardiogram (ECG) biometrics is not the exception. However, the algorithm performances rely heavily on a representative dataset for training. ECGs suffer constant temporal va
Externí odkaz:
https://doaj.org/article/a6e544cf07d04271b62a83601b1a880b