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 …
Local line directional pattern for palmprint recognition
Local binary patterns (LBP) are one of the most important image representations. However,
LBPs have not been as successful as other methods in palmprint recognition. Originally, the …
LBPs have not been as successful as other methods in palmprint recognition. Originally, the …
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 …
EEPNet: An efficient and effective convolutional neural network for palmprint recognition
Palmprint recognition is an important biometrics technology. In recent years, a lot of
palmprint recognition methods based on convolution neural networks (CNNs) have been …
palmprint recognition methods based on convolution neural networks (CNNs) have been …
Palmprint recognition based on complete direction representation
Direction information serves as one of the most important features for palmprint recognition.
In the past decade, many effective direction representation (DR)-based methods have been …
In the past decade, many effective direction representation (DR)-based methods have been …
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 …
A SIFT-based contactless palmprint verification approach using iterative RANSAC and local palmprint descriptors
X Wu, Q Zhao, W Bu - Pattern recognition, 2014 - Elsevier
Palmprint recognition is a relatively new and effective biometric technology. Most of the
traditional palmprint recognition methods are based on contact acquisition devices, which …
traditional palmprint recognition methods are based on contact acquisition devices, which …
Deep region of interest and feature extraction models for palmprint verification using convolutional neural networks transfer learning
M Izadpanahkakhk, SM Razavi… - Applied Sciences, 2018 - mdpi.com
Palmprint verification is one of the most significant and popular approaches for personal
authentication due to its high accuracy and efficiency. Using deep region of interest (ROI) …
authentication due to its high accuracy and efficiency. Using deep region of interest (ROI) …