… coefficients, are different at each scale of wavelet decomposition. Therefore, wavelet
energy is very suitable to describe a palmprint. Wavelet energy feature (WEF) of a palmprint is …

… In this paper, a palmprint recognition method based on multi-wavelet and CNN is proposed.
Data augmentation and CNN model construction are two keys. Data augmentation is …

… This paper presents the multispectral palmprint recognition system using wavelet-based
image fusion. Multispectral palmprint capture device was designed to offer illuminations of Red, …

… This paper proposed a set of statistical and wavelet-based features for palmprint recognition.
One attempts to find the spatial information of palm images and the other aims to mostly …

… A multispectral palmprint recognition system using wavelet based image fusion has been …
It uses Wavelet based image fusion as data-level. Fused verifications show better effort on …

… Motivated by enhancing the use of the key points in recognition, we … Multi-wavelet
outperforms the scalar wavelet [5], therefore we choose the multi-wavelet to extract the palmprint …

… ) to represent the palmprint features, and recognition rate reached … multi-resolution palmprint
lines and the advantages of multi-scale analysis of wavelet transform, an effective palmprint …

… Lines and points are extracted from palms for individual identification in original image or …
the input palmprint image, next a 2-D multi-wavelet transform is used to convert the palmprint …

… According to the fact that the basic features of a palmprint, including principal lines… palmprints
using a multi-resolution method and define a novel palmprint feature, which called wavelet …

… , linear discriminate analysis for dimensionality reduction, and 2D discrete wavelet, ridgelet,
… a comparative palmprint recognition approach using multi-scale transforms: 2D wavelets, …