Feature extraction methods for palmprint recognition: A survey and evaluation

L Fei, G Lu, W Jia, S Teng… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Palmprint processes a number of unique features for reliable personal recognition.
However, different types of palmprint images contain different dominant features. Instead …

Toward unconstrained palmprint recognition on consumer devices: A literature review

AS Ungureanu, S Salahuddin, P Corcoran - IEEE Access, 2020 - ieeexplore.ieee.org
As a biometric modality, palmprints have been largely under-utilized, but they offer some
advantages over fingerprints and facial biometrics. Recent improvements in imaging …

Learning discriminant direction binary palmprint descriptor

L Fei, B Zhang, Y Xu, Z Guo, J Wen… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
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 …

Local discriminant direction binary pattern for palmprint representation and recognition

L Fei, B Zhang, Y Xu, D Huang, W Jia… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
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 …

Palmprint recognition based on complete direction representation

W Jia, B Zhang, J Lu, Y Zhu, Y Zhao… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
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 …

Learning compact multifeature codes for palmprint recognition from a single training image per palm

L Fei, B Zhang, L Zhang, W Jia… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
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 …

Contactless palmprint identification using deeply learned residual features

Y Liu, A Kumar - … on Biometrics, Behavior, and Identity Science, 2020 - ieeexplore.ieee.org
Contactless and online palmprint identification offers improved user convenience, hygiene,
user-security and is highly desirable in a range of applications. This paper proposes an …

Jointly heterogeneous palmprint discriminant feature learning

L Fei, B Zhang, Y Xu, C Tian, I Rida… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Heterogeneous palmprint recognition has attracted considerable research attention in
recent years because it has the potential to greatly improve the recognition performance for …

Bézierpalm: A free lunch for palmprint recognition

K Zhao, L Shen, Y Zhang, C Zhou, T Wang… - … on Computer Vision, 2022 - Springer
Palmprints are private and stable information for biometric recognition. In the deep learning
era, the development of palmprint recognition is limited by the lack of sufficient training data …

A 3D feature descriptor recovered from a single 2D palmprint image

Q Zheng, A Kumar, G Pan - IEEE transactions on pattern …, 2016 - ieeexplore.ieee.org
Design and development of efficient and accurate feature descriptors is critical for the
success of many computer vision applications. This paper proposes a new feature …