Challenges and opportunities of biometric user authentication in the age of iot: A survey
While the Internet of Things (IoT) devices, such as smartwatches, provide a range of services
from managing financial transactions to monitoring smart homes, these devices often lead to …
from managing financial transactions to monitoring smart homes, these devices often lead to …
A comprehensive survey on ECG signals as new biometric modality for human authentication: Recent advances and future challenges
Electrocardiogram (ECG) has extremely discriminative characteristics in the biometric field
and has recently received significant interest as a promising biometric trait. However, ECG …
and has recently received significant interest as a promising biometric trait. However, ECG …
Multimodal biometric authentication systems using convolution neural network based on different level fusion of ECG and fingerprint
A multimodal biometric system integrates information from more than one biometric modality
to improve the performance of each individual biometric system and make the system robust …
to improve the performance of each individual biometric system and make the system robust …
Evolution, current challenges, and future possibilities in ECG biometrics
Face and fingerprint are, currently, the most thoroughly explored biometric traits, promising
reliable recognition in diverse applications. Commercial products using these traits for …
reliable recognition in diverse applications. Commercial products using these traits for …
BAED: A secured biometric authentication system using ECG signal based on deep learning techniques
Biometric authentication technology has become increasingly common in our daily lives as
information protection and control regulation requirements have grown worldwide. A …
information protection and control regulation requirements have grown worldwide. A …
ECG biometric recognition: A comparative analysis
The electrocardiogram (ECG) is an emerging biometric modality that has seen about 13
years of development in peer-reviewed literature, and as such deserves a systematic review …
years of development in peer-reviewed literature, and as such deserves a systematic review …
A survey on gait recognition
C Wan, L Wang, VV Phoha - ACM Computing Surveys (CSUR), 2018 - dl.acm.org
Recognizing people by their gait has become more and more popular nowadays due to the
following reasons. First, gait recognition can work well remotely. Second, gait recognition …
following reasons. First, gait recognition can work well remotely. Second, gait recognition …
ECG recurrence plot-based arrhythmia classification using two-dimensional deep residual CNN features
In this paper, an effective electrocardiogram (ECG) recurrence plot (RP)-based arrhythmia
classification algorithm that can be implemented in portable devices is presented. Public …
classification algorithm that can be implemented in portable devices is presented. Public …
ECG databases for biometric systems: A systematic review
Computer-based biometric systems (CBBSs) individual recognition are expert and intelligent
systems that are gaining increasing interest in many areas, such as securing financial …
systems that are gaining increasing interest in many areas, such as securing financial …
Individual identification via electrocardiogram analysis
Background During last decade the use of ECG recordings in biometric recognition studies
has increased. ECG characteristics made it suitable for subject identification: it is unique …
has increased. ECG characteristics made it suitable for subject identification: it is unique …