Results 41 to 50 of about 3,116,601 (343)

Biometric identification

IOP Conference Series: Materials Science and Engineering, 2018
Image recognition is an information process implemented by some information converter (intelligent information channel, recognition system) having input and output. The input of the system is fed with information about the characteristics of the objects being presented.
Syryamkin, Vladimir I., Kuznetsov, Denis N., Kuznetsova, A. S.   +2 more
openaire   +2 more sources

Multimodal Identification Based on Fingerprint and Face Images via a Hetero-Associative Memory Method

Mathematics, 2021
Multimodal identification, which exploits biometric information from more than one biometric modality, is more secure and reliable than unimodal identification. Face recognition and fingerprint recognition have received a lot of attention in recent years
Qi Han, Heng Yang, Tengfei Weng, Guorong Chen, Jinyuan Liu, Yuan Tian   +5 more
doaj   +1 more source

Can Ensemble Deep Learning Identify People by Their Gait Using Data Collected from Multi-Modal Sensors in Their Insole?

Sensors, 2020
Gait is a characteristic that has been utilized for identifying individuals. As human gait information is now able to be captured by several types of devices, many studies have proposed biometric identification methods using gait information. As research
Jucheol Moon, Nelson Hebert Minaya, Nhat Anh Le, Hee-Chan Park, Sang-Il Choi   +4 more
doaj   +1 more source

CorNET: Deep Learning Framework for PPG-Based Heart Rate Estimation and Biometric Identification in Ambulant Environment

IEEE Transactions on Biomedical Circuits and Systems, 2019
Advancements in wireless sensor network technologies have enabled the proliferation of miniaturized body-worn sensors, capable of long-term pervasive biomedical signal monitoring. Remote cardiovascular monitoring has been one of the beneficiaries of this
Dwaipayan Biswas, L. Everson, Muqing Liu, Madhuri Panwar, Bram-Ernst Verhoef, S. Patki, C. Kim, A. Acharyya, C. van Hoof, M. Konijnenburg, N. van Helleputte   +10 more
semanticscholar   +1 more source

Noninvasive tests for nonalcoholic fatty liver disease in a multi‐ethnic population: The HELIUS study

Hepatology Communications, EarlyView., 2022
Abstract Nonalcoholic fatty liver disease (NAFLD) is increasing in prevalence and severity globally, prompting noninvasive testing, yet limited data exist on noninvasive liver tests (NITs) including transient elastography (TE) in ethnically diverse populations.
Anne‐Marieke van Dijk, Yasaman Vali, Anne Linde Mak, Henrike Galenkamp, Max Nieuwdorp, Bert‐Jan van den Born, Adriaan Georgius Holleboom   +6 more
wiley   +1 more source

Methodological and Health Reasons for Unsuccessful Biometric Identification [PDF]

Interdisciplinary Description of Complex Systems, 2023
Nowadays, the use of biometric identification procedures is becoming increasingly widespread making our lives more convenient and safer at the same time - due to their uniqueness.- from mobile phones through access control systems to the official use of ...
Andras Pallagi, Aliz Persely
doaj   +1 more source

Human Micro-Expression: A Novel Social Behavioral Biometric for Person Identification

IEEE Access, 2023
The reliance on Online Social Networks (OSN) for both formal and informal social interactions has dramatically changed the way people communicate. In this paper, a novel Social Behavioral Biometric (SBB), human micro-expression, is introduced for person ...
Zaman Wahid, Asm Hossain Bari, Fahim Anzum, Marina L. Gavrilova   +3 more
doaj   +1 more source

A digital signature system based on hand geometry - Survey

Wasit Journal of Computer and Mathematics Science, 2022
 In recent years large number of emerging automated applications faces the need to have recognition abilities of persons using their own self biometrics, before they can access the applications services.
Mays M. Taher, Dr. Loay E. George
doaj   +1 more source

Biometric identification of dairy cows via real-time facial recognition.

Animal
Biometrics methods, which currently identify humans, can potentially identify dairy cows. Given that animal movements cannot be easily controlled, identification accuracy and system robustness are challenging when deploying an animal biometrics ...
N. Bergman, Y. Yitzhaky, I. Halachmi
semanticscholar   +1 more source

Biometric User Identification Based on Human Activity Recognition Using Wearable Sensors: An Experiment Using Deep Learning Models

Electronics, 2021
Currently, a significant amount of interest is focused on research in the field of Human Activity Recognition (HAR) as a result of the wide variety of its practical uses in real-world applications, such as biometric user identification, health monitoring
S. Mekruksavanich, A. Jitpattanakul
semanticscholar   +1 more source