Multispectral palmprint recognition based on local binary pattern histogram fourier features and gabor filter

W El-Tarhouni, L Boubchir… - 2016 6th European …, 2016 - ieeexplore.ieee.org
Fusing multiple features within one biometric modality has attracted increasing attention and
interest among researchers during recent decades because the concept is useful in …

Palmprint identification combining hierarchical multi-scale complete LBP and weighted SRC

S Zhang, H Wang, W Huang - Soft Computing, 2020 - Springer
Palmprint is one of the most reliable biometrics and has been widely used for human
identification due to its high recognition accuracy and convenience for practical application …

Joint constrained least-square regression with deep convolutional feature for palmprint recognition

S Zhao, B Zhang - IEEE Transactions on Systems, Man, and …, 2020 - ieeexplore.ieee.org
Various palmprint recognition methods have been proposed and applied in security,
particularly authentication. However, improving the performance of palmprint recognition …

A novel hierarchical approach for multispectral palmprint recognition

D Hong, W Liu, J Su, Z Pan, G Wang - Neurocomputing, 2015 - Elsevier
Palmprint is one important biometric feature with uniqueness, stability and high
distinguishability, and its study has attracted much attention in the past decades. Although …

Multimodal recognition system based on high-resolution palmprints

IS Hussein, SB Sahibuddin, MDJ Nordin… - IEEE …, 2020 - ieeexplore.ieee.org
High-resolution palmprint recognition is a challenging problem due to deficiencies in
images, such as poor quality, skin distortion, and unallocated images. Considering the …

A comparative study of palmprint recognition algorithms

D Zhang, W Zuo, F Yue - ACM computing surveys (CSUR), 2012 - dl.acm.org
Palmprint images contain rich unique features for reliable human identification, which makes
it a very competitive topic in biometric research. A great many different low resolution …

Multiscale multidirection binary pattern learning for discriminant palmprint identification

S Ma, Q Hu, S Zhao, W Wu, J Wu - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Binary pattern learning has been achieved promising recognition performance in palmprint
identification. However, most of direction representation-based methods are hand-crafted …

Multi-order texture features for palmprint recognition

Z Yang, L Leng, T Wu, M Li, J Chu - Artificial Intelligence Review, 2023 - Springer
Palmprint attracts increasing attention thanks to its several advantages. 1st-order textures
have been widely used for palmprint recognition; unfortunately, high-order textures …

Shift and gray scale invariant features for palmprint identification using complex directional wavelet and local binary pattern

M Mu, Q Ruan, S Guo - Neurocomputing, 2011 - Elsevier
In this paper, a novel feature extraction framework is presented for palmprint identification,
which provides a shiftable and gray scale invariant description of image achieving high …

[PDF][PDF] Fusion recognition of palmprint and palm vein based on modal correlation

W Wu, Y Zhang, Y Li, C Li - Mathematical Biosciences and …, 2024 - aimspress.com
Biometric authentication prevents losses from identity misuse in the artificial intelligence (AI)
era. The fusion method integrates palmprint and palm vein features, leveraging their stability …