Palmprint Recognition: Extensive exploration of databases, methodologies, comparative assessment, and future directions
N Amrouni, A Benzaoui, A Zeroual - Applied Sciences, 2023 - mdpi.com
This paper presents a comprehensive survey examining the prevailing feature extraction
methodologies employed within biometric palmprint recognition models. It encompasses a …
methodologies employed within biometric palmprint recognition models. It encompasses a …
Multiview-learning-based generic palmprint recognition: A literature review
Palmprint recognition has been widely applied to security authentication due to its rich
characteristics, ie, local direction, wrinkle, and texture. However, different types of palmprint …
characteristics, ie, local direction, wrinkle, and texture. However, different types of palmprint …
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 …
Joint constrained least-square regression with deep convolutional feature for palmprint recognition
Various palmprint recognition methods have been proposed and applied in security,
particularly authentication. However, improving the performance of palmprint recognition …
particularly authentication. However, improving the performance of palmprint recognition …
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 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 discriminative representation for generic palmprint recognition
State-of-the-art palmprint recognition methods have achieved significant performances.
However, most of the existing methods are focused on particular scenarios such as a …
However, most of the existing methods are focused on particular scenarios such as a …
Double-cohesion learning based multiview and discriminant palmprint recognition
Palmprint recognition has been widely used in security authentication. However, most of the
existing palmprint representation methods are focused on a special application scenario …
existing palmprint representation methods are focused on a special application scenario …
Learning compact multifeature codes for palmprint recognition from a single training image per palm
In this article, we propose a multifeature learning method to jointly learn compact
multifeature codes (LCMFCs) for palmprint recognition with a single training sample per …
multifeature codes (LCMFCs) for palmprint recognition with a single training sample per …
Extreme downsampling and joint feature for coding-based palmprint recognition
Palmprint is a commonly used and significant modality for biometric recognition currently.
The coding-based methods are practical for palmprint recognition because they can be free …
The coding-based methods are practical for palmprint recognition because they can be free …