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 …
Toward unconstrained palmprint recognition on consumer devices: A literature review
As a biometric modality, palmprints have been largely under-utilized, but they offer some
advantages over fingerprints and facial biometrics. Recent improvements in imaging …
advantages over fingerprints and facial biometrics. Recent improvements in imaging …
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 …
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 …
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 …
Learning discriminant direction binary palmprint descriptor
Palmprint directions have been proved to be one of the most effective features for palmprint
recognition. However, most existing direction-based palmprint descriptors are hand-craft …
recognition. However, most existing direction-based palmprint descriptors are hand-craft …
[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 …
Local apparent and latent direction extraction for palmprint recognition
Direction information of the palmprint provides one of the most promising features for
palmprint recognition. However, more existing direction-based methods only extract the …
palmprint recognition. However, more existing direction-based methods only extract the …
Local discriminant direction binary pattern for palmprint representation and recognition
Direction-based methods are the most powerful and popular palmprint recognition methods.
However, there is no existing work that completely analyzes the essential differences among …
However, there is no existing work that completely analyzes the essential differences among …
Deep distillation hashing for unconstrained palmprint recognition
Deep palmprint recognition has become an emerging issue with great potential for personal
authentication on handheld and wearable consumer devices. Previous studies of palmprint …
authentication on handheld and wearable consumer devices. Previous studies of palmprint …