Multispectral palmprint recognition based on fusion of local features
A Amraoui, Y Fakhri, MA Kerroum - 2018 6th International …, 2018 - ieeexplore.ieee.org
One of the most serious challenges faced by the present technological world is creating a
personal secured identity. Biometrics is presented as an effective solution to resolve these …
personal secured identity. Biometrics is presented as an effective solution to resolve these …
Highly Accurate Multispectral Palmprint Recognition Using Statistical and Wavelet Features
S Minaee, AA Abdolrashidi - arXiv preprint arXiv:1408.3772, 2014 - arxiv.org
Palmprint is one of the most useful physiological biometrics that can be used as a powerful
means in personal recognition systems. The major features of the palmprints are palm lines …
means in personal recognition systems. The major features of the palmprints are palm lines …
Palmprint recognition using 3-D information
Palmprint has proved to be one of the most unique and stable biometric characteristics.
Almost all the current palmprint recognition techniques capture the 2-D image of the palm …
Almost all the current palmprint recognition techniques capture the 2-D image of the palm …
[引用][C] Analysis of Multibiometric Palmprint Recognition System for Authentication
P Akila, R Gayathri, R Meenatchi, M Ramya, D Dharini - International Journal Of …, 2016
Orientation space code and multi-feature two-phase sparse representation for palmprint recognition
L Liang, T Chen, L Fei - International Journal of Machine Learning and …, 2020 - Springer
Orientation based coding method is one of the most important approaches in palmprint
recognition, which achieves impressive performance by extracting one or more dominant …
recognition, which achieves impressive performance by extracting one or more dominant …
Regional fusion for high‐resolution palmprint recognition using spectral minutiae representation
The spectral minutiae representation (SMC) has been recently proposed as a novel method
to minutiae‐based fingerprint recognition, which is invariant to minutiae translation and …
to minutiae‐based fingerprint recognition, which is invariant to minutiae translation and …
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 …
which provides a shiftable and gray scale invariant description of image achieving high …
Palmprint recognition method based on score level fusion
S Zhang, X Gu - Optik-International Journal for Light and Electron Optics, 2013 - Elsevier
Different palmprint recognition methods have different advantages. The texture-and feature-
based palmprint recognition methods can well exploit the minutiae of the palmprint but are …
based palmprint recognition methods can well exploit the minutiae of the palmprint but are …
Palmprint recognition using deep scattering convolutional network
S Minaee, Y Wang - arXiv preprint arXiv:1603.09027, 2016 - arxiv.org
Palmprint recognition has drawn a lot of attention during the recent years. Many algorithms
have been proposed for palmprint recognition in the past, majority of them being based on …
have been proposed for palmprint recognition in the past, majority of them being based on …
[PDF][PDF] Palmprint recognition system based on proposed features extraction and (c5. 0) decision tree, k-nearest neighbour (knn) classification approaches
In the biometrics research area, palmprint recognition system is gaining the most popularity.
Significant performances have been achieved in the state-of-the-art palmprint recognition …
Significant performances have been achieved in the state-of-the-art palmprint recognition …