A comprehensive survey of databases and deep learning methods for cybersecurity and intrusion detection systems
This survey presents a comprehensive overview of machine learning methods for
cybersecurity intrusion detection systems, with a specific focus on recent approaches based …
cybersecurity intrusion detection systems, with a specific focus on recent approaches based …
A survey of unsupervised generative models for exploratory data analysis and representation learning
For more than a century, the methods for data representation and the exploration of the
intrinsic structures of data have developed remarkably and consist of supervised and …
intrinsic structures of data have developed remarkably and consist of supervised and …
Palmprint recognition in uncontrolled and uncooperative environment
WM Matkowski, T Chai… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Online palmprint recognition and latent palmprint identification are two branches of
palmprint studies. The former uses middle-resolution images collected by a digital camera in …
palmprint studies. The former uses middle-resolution images collected by a digital camera in …
Efficient palmprint biometric identification systems using deep learning and feature selection methods
Over the past two decades, several studies have paid great attention to biometric palmprint
recognition. Recently, most methods in literature adopted deep learning due to their high …
recognition. Recently, most methods in literature adopted deep learning due to their high …
Acute lymphoblastic leukemia detection based on adaptive unsharpening and deep learning
Computer Aided Diagnosis (CAD) systems are increasingly utilizing image analysis and
Deep Learning (DL) techniques, due to their high accuracy in several medical imaging …
Deep Learning (DL) techniques, due to their high accuracy in several medical imaging …
Towards open-set touchless palmprint recognition via weight-based meta metric learning
Touchless biometrics has become significant in the wake of novel coronavirus 2019 (COVID-
19). Due to the convenience, user-friendly, and high-accuracy, touchless palmprint …
19). Due to the convenience, user-friendly, and high-accuracy, touchless palmprint …
A multi-spectral palmprint fuzzy commitment based on deep hashing code with discriminative bit selection
Direct usage of original biometric features/templates definitely leads to serious privacy
leakage. In biometric cryptosystems, a biometric key is generated and then strictly protected …
leakage. In biometric cryptosystems, a biometric key is generated and then strictly protected …
Comprehensive competition mechanism in palmprint recognition
Palmprint has gained popularity as a biometric modality and has recently attracted
significant research interest. The competition-based method is the prevailing approach for …
significant research interest. The competition-based method is the prevailing approach for …
Few-shot learning for palmprint recognition via meta-siamese network
Palmprint is one of the discriminant biometric modalities of humans. Recently, deep learning-
based palmprint recognition algorithms have improved the accuracy and robustness of …
based palmprint recognition algorithms have improved the accuracy and robustness of …
A performance evaluation of classic convolutional neural networks for 2D and 3D palmprint and palm vein recognition
Palmprint recognition and palm vein recognition are two emerging biometrics technologies.
In the past two decades, many traditional methods have been proposed for palmprint …
In the past two decades, many traditional methods have been proposed for palmprint …