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 …
Feature extraction methods for palmprint recognition: A survey and evaluation
Palmprint processes a number of unique features for reliable personal recognition.
However, different types of palmprint images contain different dominant features. Instead …
However, different types of palmprint images contain different dominant features. Instead …
Retracted article: a multimodal biometric authentication scheme based on feature fusion for improving security in cloud environment
T Joseph, SA Kalaiselvan, SU Aswathy… - Journal of Ambient …, 2021 - Springer
In recent days, due to the advent of advanced technologies such as cloud computing,
accessing data can be done anywhere at any time. Meanwhile, ensuring the data security is …
accessing data can be done anywhere at any time. Meanwhile, ensuring the data security is …
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 …
Learning discriminant direction binary palmprint descriptor
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 …
recognition. However, most existing direction-based palmprint descriptors are hand-craft …
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 …
Local apparent and latent direction extraction for palmprint recognition
Direction information of the palmprint provides one of the most promising features for
palmprint recognition. However, more existing direction-based methods only extract the …
palmprint recognition. However, more existing direction-based methods only extract 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 …