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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 …
Few-shot learning for palmprint recognition via meta-siamese network
Palmprint is one of the discriminant biometric modalities of humans. Recently, deep learning-
based palmprint recognition algorithms have improved the accuracy and robustness of …
based palmprint recognition algorithms have improved the accuracy and robustness of …
Rpg-palm: Realistic pseudo-data generation for palmprint recognition
Palmprint recently shows great potential in recognition applications as it is a privacy-friendly
and stable biometric. However, the lack of large-scale public palmprint datasets limits further …
and stable biometric. However, the lack of large-scale public palmprint datasets limits further …
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 …
Contactless palmprint identification using deeply learned residual features
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 …
user-security and is highly desirable in a range of applications. This paper proposes an …
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 …
Learning Frequency-Aware Common Feature for VIS-NIR Heterogeneous Palmprint Recognition
Palmprint recognition has shown great value for biometric recognition due to its advantages
of good hygiene, semi-privacy and low invasiveness. However, most existing palmprint …
of good hygiene, semi-privacy and low invasiveness. However, most existing palmprint …
Learning modality-invariant binary descriptor for crossing palmprint to palm-vein recognition
Palmprint has shown promising potential for biometrics recognition due to its excellent
contactless and hygienic properties. However, most existing methods focus only on feature …
contactless and hygienic properties. However, most existing methods focus only on feature …
Towards cross-dataset palmprint recognition via joint pixel and feature alignment
Deep learning-based palmprint recognition algorithms have shown great potential. Most of
them are mainly focused on identifying samples from the same dataset. However, they may …
them are mainly focused on identifying samples from the same dataset. However, they may …
LSFM: Light Style and Feature Matching for Efficient Cross-Domain Palmprint Recognition
The exceptional feature extraction capabilities of deep neural networks (DNNs) have
significantly advanced palmprint recognition. However, DNNs typically require training and …
significantly advanced palmprint recognition. However, DNNs typically require training and …