… , in which the scale features of palmprint cannot be well exploited. In … features learning (DOSFL)
for palmprint recognition. By introducing the idea of discriminant analysis into palmprint …

… palmprint images, so feature extraction algorithm based on wavelet 1analysis will be studied
in this paper. According to multi-scale features… proposed to calculate palmprint match score. …

… The success of coding-based methods, which encode the responses of a bank of filters into
bitwise features, have attracted our interest, particularly, the multi-scale scheme, where the …

… The hierarchical multi-scale local invariant texture features are extracted firstly from each
palmprint by multi-scale local binary pattern (MS-LBP) and multi-scale complete local binary …

… , we propose a novel palmprint recognition based on improved differential box counting
with multi-scale and multi-directional. Firstly, the image is transformed by multi-scale and multi-…

… as face recognition [1], palmprint recognition [2], [3], fingerprint … the feature maps of Conv3
layer as multi-scale feature maps. The recognition rates of different ways of multi-scale feature …

… However, with insufficient training samples, how to extract discriminative features … general
palmprint recognition framework. First, based on the integrated Gabor filter (IGF), a multi-scale …

… extraction from wavelet sub-images is very effective for palmprint identification. Experimental
results show clearly that our method based on multi-scale wavelet images is valid. However…

… For instance, since the face biometric traits can be easily captured, fake photographs, … to
attack facial recognition systems [8]. Similarly, iris and fingerprint recognition systems are also …

… 4.2 Feature extraction method and PCA dimension reduction … images and feature extraction
through multi-scale LPQ are the main research points in our experiment. The feature vectors …