Results 91 to 100 of about 174,421 (334)
On the Potential of Algorithm Fusion for Demographic Bias Mitigation in Face Recognition
IET BiometricsWith the rise of deep neural networks, the performance of biometric systems has increased tremendously. Biometric systems for face recognition are now used in everyday life, e.g., border control, crime prevention, or personal device access control ...
Jascha Kolberg +3 more
doaj +1 more source
Biometric Borders Envisaged by Frontex: Fundamental Rights in the Backseat
European Papers(Series Information) European Papers - A Journal on Law and Integration, 2024 9(2), 621-640 | Article | (Table of Contents) I. Introduction. – II. Technological and legal aspects of biometrics. – II.1.
Matija Kontak
doaj +1 more source
Evolution, Current Challenges, and Future Possibilities in ECG Biometrics
IEEE Access, 2018 Face and fingerprint are, currently, the most thoroughly explored biometric traits, promising reliable recognition in diverse applications. Commercial products using these traits for biometric identification or authentication are increasingly widespread,
João Ribeiro Pinto +2 more
semanticscholar +1 more source
Advanced Intelligent Discovery, EarlyView.This article implements a unified human digital twin framework that integrates cutting edge actuation, sensing, simulation, and bidirectional feedback capability. The approach includes integrating multimodal sensing, AI, and biomechanical simulation into one compact system.
Tajbeed Ahmed Chowdhury +4 more
wiley +1 more source
Four Machine Learning Algorithms for Biometrics Fusion: A Comparative Study
Applied Computational Intelligence and Soft Computing, 2012 We examine the efficiency of four machine learning algorithms for the fusion of several biometrics modalities to create a multimodal biometrics security system. The algorithms examined are Gaussian Mixture Models (GMMs), Artificial Neural Networks (ANNs),
I. G. Damousis, S. Argyropoulos
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Soft biometrics; human identification using comparative descriptions
, 2014 Soft biometrics are a new form of biometric identification which use physical or behavioral traits that can be naturally described by humans. Unlike other biometric approaches, this allows identification based solely on verbal descriptions, bridging the ...
Reid, Daniel +2 more
core +1 more source
Study of the effect of blurriness in image acquisition for Hand Biometrics in Mobile Devices [PDF]
, 2011 This paper presents a study on the effect of blurred images in hand biometrics. Blurred images simulates out-of-focus effects in hand image acquisition, a common consequence of unconstrained, contact-less and platform-free hand biometrics in mobile ...
Bailador del Pozo, Gonzalo +8 more
core +1 more source
Soft Active Electromyography Interface for Machine Learning‐Enabled Silent Speech Recognition
Advanced Intelligent Systems, EarlyView.A soft, hand‐worn electromyography interface enables intent‐driven silent speech recognition without continuous facial attachment. The device integrates liquid‐metal interconnects, a transparent flexible circuit, and elastomer encapsulation with a fingertip electrode that contacts perioral muscles only on demand.
Yuta Kurotaki +8 more
wiley +1 more source
On Shape-Mediated Enrolment in Ear Biometrics
, 2007 Ears are a new biometric with major advantage in that they appear to maintain their shape with increased age. Any automatic biometric system needs enrolment to extract the target area from the background. In ear biometrics the inputs are often human head
Nixon, Mark, Arbab-Zavar, Banafshe
core +1 more source
Advanced Intelligent Systems, EarlyView.A smartphone‐embedded fabric‐strip sensing interface captures side‐pressure sequences and grip‐position patterns for behavioral authentication. Probability‐based soft stacking integrates class‐wise predictive probabilities from multiple learners to improve verification‐style discrimination, supporting a sensor‐integrated mobile‐security framework that ...
Wonki Hong
wiley +1 more source