In recent years, finger vein recognition has become more attractive due to some obvious advantages, such as: in-vivo recognition, high anti-counterfeiting, ...
In this paper, DSST (Discrete Separable Shearlet Transform) is chosen as the image decomposition and feature extraction tool, which is a fast implementation of ...
The experiment result show that the feature extraction method based on DSST is more applicable for finger vein image, and the feature extracted has a better ...
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In this paper, discrete separable shearlet transformation (DSST) are used to extract finger vein features. DSST is used to decompose the image of finger vein, ...
Two types of algorithm using ridgelet are proposed, which can show the line singularity of finger vein image, the recognition performance is satisfactory ...
Therefore, in the comparative experiments we propose two types of algorithm using ridgelet, which can show the line singularity of finger vein image, the ...
Shearlet transform is based on composite Wavelet theory [7]. For 2-dimentional signal, the affine systems with composite dilations are the collections as ...
Nov 21, 2024 · The experimental results show that: compared with traditional methods, our proposed method based on NSST does better in recognizing finger vein ...
In this paper, discrete separable shearlet transformation (DSST) are used to extract finger vein features. DSST is used to decompose the image of finger.
Fifth is the detecting of accuracy of Finger vein image by Combining the. Fourier, Haar and Daubechies wavelet transforms. The Fake finger vein images were ...