Zobrazeno 1 - 10
of 892
pro vyhledávání: '"biometric recognition"'
Publikováno v:
Signals, Vol 5, Iss 3, Pp 597-604 (2024)
EEG-based biometrics represent a relatively recent research field that aims to recognize individuals based on their recorded brain activity using electroencephalography (EEG). Among the numerous features that have been proposed, connectivity-based ap
Externí odkaz:
https://doaj.org/article/35d901039b704e9383c549d0a4a1b5bf
Autor:
Khaled Merit, Mohammed Beladgham
Publikováno v:
Journal of Telecommunications and Information Technology, Vol 4, Iss 4 (2024)
Recent research in biometric technologies underscores the benefits of multimodal systems that use multiple traits to enhance security by complicating the replication of samples from genuine users. To address this, we present a bimodal deep learning n
Externí odkaz:
https://doaj.org/article/4cf6d87a2924409c86fde77c7da5dbf8
Publikováno v:
IEEE Access, Vol 12, Pp 175414-175444 (2024)
Biometric identification technologies are crucial for enhancing security through reliable personal authentication methods. Among these modalities, finger knuckle biometrics stands out for its distinctive and consistent features, offering a valuable a
Externí odkaz:
https://doaj.org/article/7346074a862249ab94b5c5215fa6172c
Publikováno v:
IEEE Access, Vol 12, Pp 173418-173440 (2024)
The use of finger veins for biometric authentication is increasingly popular; however, low-quality images present significant challenges that necessitate innovative approaches for accurate identification. This study investigates the effectiveness of
Externí odkaz:
https://doaj.org/article/a78ac118b5304655a26df60cdbd8d7eb
Publikováno v:
IEEE Access, Vol 12, Pp 106133-106145 (2024)
Biometric recognition has become essential for secure and reliable access control in high-security systems such as surveillance, law enforcement, and smart cities. While deep learning models offer exceptional performance in biometric recognition, the
Externí odkaz:
https://doaj.org/article/7bcfa6afb46143fbaa5f749b8e1e82e7
Publikováno v:
IEEE Access, Vol 12, Pp 60436-60446 (2024)
In the field of deep learning, understanding the rationale behind an automatic system’s decisions is essential for building users’ trust and ensuring accountability. In this regard, explainable artificial intelligence (XAI) recently emerged as a
Externí odkaz:
https://doaj.org/article/8508e2798ca348fbb6bc4d066d99de93
Publikováno v:
Mathematical Biosciences and Engineering, Vol 21, Iss 2, Pp 3129-3145 (2024)
Biometric authentication prevents losses from identity misuse in the artificial intelligence (AI) era. The fusion method integrates palmprint and palm vein features, leveraging their stability and security and enhances counterfeiting prevention and o
Externí odkaz:
https://doaj.org/article/7ff5696232fe4513b0a5553a973cd98e
Publikováno v:
Algorithms, Vol 17, Iss 11, p 483 (2024)
This study presents an innovative automatic scheduling method for the relocation of customs inspection vehicles, leveraging Vehicle Electronic Identification (EVI) and biometric recognition technologies. With the expansion of global trade, customs au
Externí odkaz:
https://doaj.org/article/16d04963ddd2489aa534025a940e6fe6
Autor:
Laila Alshehri, Muhammad Hussain
Publikováno v:
Mathematics, Vol 12, Iss 20, p 3286 (2024)
A robust biometric system is essential to mitigate various security threats. Electroencephalography (EEG) brain signals present a promising alternative to other biometric traits due to their sensitivity, non-duplicability, resistance to theft, and in
Externí odkaz:
https://doaj.org/article/b96f79d930f14d278be8ff2907394f16
Autor:
Arthur Rubio, Baptiste Magnier
Publikováno v:
Sensors, Vol 24, Iss 15, p 4805 (2024)
This work presents a novel approach to enhancing iris recognition systems through a two-module approach focusing on low-level image preprocessing techniques and advanced feature extraction. The primary contributions of this paper include: (i) the dev
Externí odkaz:
https://doaj.org/article/e6620bdc60e8447d86473097db0ca88d