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 …

[HTML][HTML] A performance evaluation of classic convolutional neural networks for 2D and 3D palmprint and palm vein recognition

W Jia, J Gao, W Xia, Y Zhao, H Min, JT Lu - International Journal of …, 2021 - Springer
Palmprint recognition and palm vein recognition are two emerging biometrics technologies.
In the past two decades, many traditional methods have been proposed for palmprint …

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 …

Deep distillation hashing for unconstrained palmprint recognition

H Shao, D Zhong, X Du - IEEE Transactions on Instrumentation …, 2021 - ieeexplore.ieee.org
Deep palmprint recognition has become an emerging issue with great potential for personal
authentication on handheld and wearable consumer devices. Previous studies of palmprint …

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 …

Extreme downsampling and joint feature for coding-based palmprint recognition

Z Yang, L Leng, W Min - IEEE Transactions on Instrumentation …, 2020 - ieeexplore.ieee.org
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 …

Feature extraction for 3-D palmprint recognition: A survey

L Fei, B Zhang, W Jia, J Wen… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The 3-D palmprint recognition has been investigated for over ten years, and various
methods have been proposed for 3-D palmprint recognition. In this article, we present a …

Proxy-based graph convolutional hashing for cross-modal retrieval

Y Bai, Z Shu, J Yu, Z Yu, XJ Wu - IEEE Transactions on Big …, 2023 - ieeexplore.ieee.org
Cross-modal hashing retrieval approaches have received extensive attention owing to their
storage superiority and retrieval efficiency. To achieve better retrieval performances …

Contactless palmprint recognition system: a survey

DWS Alausa, E Adetiba, JA Badejo, IE Davidson… - IEEE …, 2022 - ieeexplore.ieee.org
Information systems in organizations traditionally require users to remember their secret pins
or (passwords), token, card number, or both to confirm their identities. However, the …