Empowering things with intelligence: a survey of the progress, challenges, and opportunities in artificial intelligence of things
In the Internet-of-Things (IoT) era, billions of sensors and devices collect and process data
from the environment, transmit them to cloud centers, and receive feedback via the Internet …
from the environment, transmit them to cloud centers, and receive feedback via the Internet …
Decade progress of palmprint recognition: A brief survey
As an advanced research topic in biometrics techniques, palmprint recognition has been
fully studied for more than 20 years. Due to its superiority to other biological features, ie high …
fully studied for more than 20 years. Due to its superiority to other biological features, ie high …
PalmNet: Gabor-PCA convolutional networks for touchless palmprint recognition
Touchless palmprint recognition systems enable high-accuracy recognition of individuals
through less-constrained and highly usable procedures that do not require the contact of the …
through less-constrained and highly usable procedures that do not require the contact of the …
Feature extraction methods for palmprint recognition: A survey and evaluation
Palmprint processes a number of unique features for reliable personal recognition.
However, different types of palmprint images contain different dominant features. Instead …
However, different types of palmprint images contain different dominant features. Instead …
11K Hands: Gender recognition and biometric identification using a large dataset of hand images
M Afifi - Multimedia Tools and Applications, 2019 - Springer
Human hand not only possesses distinctive feature for gender information, it is also
considered one of the primary biometric traits used to identify a person. Unlike face images …
considered one of the primary biometric traits used to identify a person. Unlike face images …
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 …
[HTML][HTML] 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 …
[HTML][HTML] Palmprint and palmvein recognition based on DCNN and a new large-scale contactless palmvein dataset
Among the members of biometric identifiers, the palmprint and the palmvein have received
significant attention due to their stability, uniqueness, and non-intrusiveness. In this paper …
significant attention due to their stability, uniqueness, and non-intrusiveness. In this paper …
[HTML][HTML] 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 …
A hand-based multi-biometrics via deep hashing network and biometric graph matching
At present, the fusion of different unimodal biometrics has attracted increasing attention from
researchers, who are dedicated to the practical application of biometrics. In this paper, we …
researchers, who are dedicated to the practical application of biometrics. In this paper, we …