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Published in 2021 at "Machine Vision and Applications"
DOI: 10.1007/s00138-020-01146-6
Abstract: The rising demand for high security and reliable authentication schemes, led to the development of the unimodal biometric system so that the multimodal biometric system has emerged. The multimodal biometric system will use more than…
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Keywords:
fusion;
multimodal biometric;
feature level;
biometric system ... See more keywords
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Published in 2018 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-018-7012-3
Abstract: In this paper, an effective multimodal biometric identification approach for human authentication tool based on face and voice recognition fusion is proposed. Cepstral coefficients and statistical coefficients are employed to extract features of voice recognition…
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Keywords:
voice;
recognition;
fusion;
face ... 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.2021.3061589
Abstract: Building safeguards against illegitimate access and authentication is a cornerstone for securing systems. Existing user authentication schemes suffer from challenges in detecting impersonation attacks which leave systems vulnerable and susceptible to misuse. A range of…
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Keywords:
continuous multimodal;
authentication;
biometric authentication;
multimodal biometric ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3143433
Abstract: In recent years, multimodal biometric systems are increasingly employed in many application field due to several advantages in terms of universality, recognition rate. and security. Among various acquisition technologies, Ultrasound shows important merits, because it…
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Keywords:
recognition;
fusion;
multimodal biometric;
geometry ... See more keywords
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Published in 2022 at "Future Internet"
DOI: 10.3390/fi14080222
Abstract: With the advent of modern technologies, the healthcare industry is moving towards a more personalised smart care model. The enablers of such care models are the Internet of Things (IoT) and Artificial Intelligence (AI). These…
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Keywords:
authentication;
biometric authentication;
intelligent multimodal;
multimodal biometric ... See more keywords
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Published in 2022 at "Journal of Medical Signals and Sensors"
DOI: 10.4103/jmss.jmss_103_21
Abstract: Background: The most significant motivations for designing multi-biometric systems are high-accuracy recognition, high-security assurances as well as overcoming the limitations like non-universality, noisy sensor data, and large intra-user variations. Therefore, choosing data for fusion is…
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Keywords:
system;
fusion;
multimodal biometric;
feature ... See more keywords