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Published in 2019 at "Multidimensional Systems and Signal Processing"
DOI: 10.1007/s11045-018-0593-1
Abstract: The use of electrocardiograms (ECGs) as a modality for biometric recognition has received increasing interest. Whereas ECGs are capable of providing a complete insight into the spatiotemporal nature of the cardiac electrical activity, the large…
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Keywords:
features electrocardiogram;
electrocardiogram biometric;
recognition;
biometric recognition ... See more keywords
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Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2020.06.009
Abstract: Abstract The exploitation of brain signals for biometric recognition purposes has received significant attention from the scientific community in the last decade, with most of the efforts so far devoted to the quest for discriminative…
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Keywords:
biometric recognition;
based biometric;
deep learning;
recognition ... See more keywords
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Published in 2021 at "Neurocomputing"
DOI: 10.1016/j.neucom.2020.06.137
Abstract: Abstract Eye-movement recognition is a new type of biometric recognition technology. Without considering the characteristics of the stimuli, the existing eye-movement recognition technology is based on eye-movement trajectory similarity measurements and uses more eye-movement features.…
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Keywords:
biometric recognition;
eye movement;
recognition;
reading eye ... See more keywords
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Published in 2023 at "Wuhan University Journal of Natural Sciences"
DOI: 10.1051/wujns/2023282141
Abstract: Since the outbreak of Coronavirus Disease 2019 (COVID-19), people are recommended to wear facial masks to limit the spread of the virus. Under the circumstances, traditional face recognition technologies cannot achieve satisfactory results. In this…
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Keywords:
recognition;
periocular biometric;
face recognition;
masked faces ... See more keywords
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3000044
Abstract: 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 introduction…
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Keywords:
recognition smartphone;
biometric recognition;
recognition;
vein biometric ... See more keywords
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Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2020.3035110
Abstract: Metric learning has significantly improved machine learning applications such as face re-identification and image classification using K-Nearest Neighbor (KNN) and Support Vector Machine (SVM) classifiers. However, to the best of our knowledge, it has not…
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Keywords:
biometric recognition;
distance metric;
multimodal biometric;
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Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3062282
Abstract: Biometric recognition is often used for adults for a variety of purposes where an individual’s identity must be ascertained. However, the biometric recognition of children is an unsolved challenge. Solving this challenge could protect children…
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Keywords:
modality;
fingerprint iris;
hardware;
biometric recognition ... See more keywords
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Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3239894
Abstract: In recent years, vein-based biometric recognition has received ever-increasing attention from both academia and industry, due to the advantages it offers over traditional biometric traits such as fingerprint, iris, and face. Nonetheless, some issues related…
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Keywords:
recognition;
biometric recognition;
gender specific;
vein patterns ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2023.3244651
Abstract: ECGs have shown unique patterns to distinguish between different subjects and present important advantages compared to other biometric traits. However, the lack of public data and standard experimental protocols makes the evaluation and comparison of…
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Keywords:
evaluation;
recognition review;
ecg biometric;
single multi ... See more keywords
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Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3252009
Abstract: 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 Transformers (ViTs). Based on…
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Keywords:
transformers vein;
fine tuned;
biometric recognition;
vision transformers ... See more keywords
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Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3253024
Abstract: Traditional identity verification of students based on the human proctoring approach can cause a scam identity verification and ineffective processing time, particularly among vast groups of students. Most student identification cards outdated personal information. Several…
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Keywords:
biometric recognition;
identity verification;
recognition systems;
verification ... See more keywords