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 …
Privacy preserving palmprint recognition via federated metric learning
Deep learning-based palmprint recognition methods have made good progress and
obtained promising performance. However, most of them are mainly focused on …
obtained promising performance. However, most of them are mainly focused on …
Extraction and cross-matching of palm-vein and palmprint from the RGB and the NIR spectrums for identity verification
In this paper, we propose a novel cross-spectral matching system for identity verification
based on the palm-vein and the palmprint acquired from the visible (RGB) and the near …
based on the palm-vein and the palmprint acquired from the visible (RGB) and the near …
Palm-vein verification using images from the visible spectrum
In this paper, we investigate into utilization of images from the visible light (RGB) spectrum
for identity verification based on the palm-veins. This is differentiated from the commonly …
for identity verification based on the palm-veins. This is differentiated from the commonly …
3-D ultrasound palmprint recognition system based on principal lines extracted at several under skin depths
A Iula, D Nardiello - IEEE Transactions on Instrumentation and …, 2019 - ieeexplore.ieee.org
In recent years, several palmprint recognition procedures that use 3-D information on the
palm surface have been proposed in order to overcome some limitations of 2-D palmprint …
palm surface have been proposed in order to overcome some limitations of 2-D palmprint …
Fuzzy removing redundancy restricted Boltzmann machine: improving learning speed and classification accuracy
X Lü, L Meng, C Chen, P Wang - IEEE Transactions on Fuzzy …, 2019 - ieeexplore.ieee.org
To improve the feature extraction ability and shorten the learning time, fuzzy removing
redundancy restricted Boltzmann machine (F3RBM) is developed. The features extracted by …
redundancy restricted Boltzmann machine (F3RBM) is developed. The features extracted by …
Experimental validation of a reliable palmprint recognition system based on 2D ultrasound images
A Iula, M Micucci - Electronics, 2019 - mdpi.com
Ultrasound has been trialed in biometric recognition systems for many years, and at present
different types of ultrasound fingerprint readers are being produced and integrated in …
different types of ultrasound fingerprint readers are being produced and integrated in …
Image recognition and safety risk assessment of traffic sign based on deep convolution neural network
R Chen, L Hei, Y Lai - IEEE Access, 2020 - ieeexplore.ieee.org
A neural network model based on deep learning is utilized to explore the traffic sign
recognition (TSR) and expand the application of deep intelligent learning technology in the …
recognition (TSR) and expand the application of deep intelligent learning technology in the …
A deep biometric hash learning framework for three advanced hand‐based biometrics
Hand‐based biometrics has undergone extensive research in recent decades. Besides
fingerprint, which is commonly used in personal authentication, there are other three …
fingerprint, which is commonly used in personal authentication, there are other three …
Max-min threshold-based cancelable biometric templates for low-end devices
Biometrics are widely used in security systems, but it has drawbacks such as its
nonreusability, being susceptible to getting stolen, and being prone to unauthorized access …
nonreusability, being susceptible to getting stolen, and being prone to unauthorized access …