Deep gait recognition: A survey
A Sepas-Moghaddam, A Etemad - IEEE transactions on pattern …, 2022 - ieeexplore.ieee.org
Gait recognition is an appealing biometric modality which aims to identify individuals based
on the way they walk. Deep learning has reshaped the research landscape in this area …
on the way they walk. Deep learning has reshaped the research landscape in this area …
Cancelable biometrics: a comprehensive survey
Biometric recognition is a challenging research field but suffers from privacy and security
concerns. To address this concern, Cancelable Biometrics is suggested in literature in which …
concerns. To address this concern, Cancelable Biometrics is suggested in literature in which …
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 …
Deep feature fusion for iris and periocular biometrics on mobile devices
The quality of iris images on mobile devices is significantly degraded due to hardware
limitations and less constrained environments. Traditional iris recognition methods cannot …
limitations and less constrained environments. Traditional iris recognition methods cannot …
Deep hashing for secure multimodal biometrics
V Talreja, MC Valenti… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
When compared to unimodal systems, multimodal biometric systems have several
advantages, including lower error rate, higher accuracy, and larger population coverage …
advantages, including lower error rate, higher accuracy, and larger population coverage …
Parallel score fusion of ECG and fingerprint for human authentication based on convolution neural network
Biometrics have been extensively used in the past decades in various security systems and
have been deployed around the world. However, all unimodal biometrics have their own …
have been deployed around the world. However, all unimodal biometrics have their own …
A deep feature fusion network based on multiple attention mechanisms for joint iris-periocular biometric recognition
Joint iris-periocular recognition based on feature fusion can overcome some inherent
drawbacks of unimodal biometrics, but most of the prior works are limited by conventional …
drawbacks of unimodal biometrics, but most of the prior works are limited by conventional …
Face and gait biometrics authentication system based on simplified deep neural networks
Research on biometric methods has gained momentum due to the increase in security
concerns. Face and gait biometrics are two biometrics that are safe and non-invasive in …
concerns. Face and gait biometrics are two biometrics that are safe and non-invasive in …
A review on protection and cancelable techniques in biometric systems
JC Bernal-Romero, JM Ramirez-Cortes… - Ieee …, 2023 - ieeexplore.ieee.org
An essential part of cloud computing, IoT, and in general the broad field of digital systems, is
constituted by the mechanisms which provide access to a number of services or …
constituted by the mechanisms which provide access to a number of services or …
Deep learning for privacy preservation in autonomous moving platforms enhanced 5G heterogeneous networks
Abstract 5G heterogeneous networks have become a promising platform to connect a
growing number of Internet-of-Things (IoT) devices and accommodate a wide variety of …
growing number of Internet-of-Things (IoT) devices and accommodate a wide variety of …