Palm vein recognition system

Abstract

The invention relates to a palm vein recognition system. According to the palm vein recognition system of the invention, An ROI (region-of-interest) image is selected; the difference image of the ROI image is calculated; a local histogram equalization image and a curvature image are calculated based on the difference image; a preprocessed image is obtained; when feature extraction is carried out, a certain number of fixed sampling points are selected from the preprocessed image, the absolute values of Gabor wavelet coefficients in a plurality of directions and at plurality of high frequencies and low frequencies are calculated for each sampling point; high-frequency vector normalization is carried out for each sampling point, so that a high-frequency feature can be obtained; the difference of a low-frequency vector and a 4-neighborhood low-frequency vector is calculated for each sampling point, so that a low-frequency feature can be obtained; when comparison is carried out, the scalar products of the high-frequency feature vectors of the corresponding sampling points of two images are calculated; and the scalar products are added together, so that high frequency similarity can be obtained; corresponding low-frequency feature vectors of the two images are obtained; the number of low-frequency feature vectors of which the corresponding components are identical is divided by the total dimensionality number of the vectors, so that low frequency similarity can be obtained; and the high frequency similarity and the low frequency similarity are added according to a preset weight, so that total similarity can be obtained.

Description

technical field [0001] The invention relates to a palm vein recognition system, in particular to a palm vein recognition system using Gabor Wavelets features. Background technique [0002] Palm vein recognition is a new biometric identification method that uses the veins in the palm to verify personal identity. [0003] The palm vein recognition system has the following advantages: [0004] (1) When palm veins are used for identity authentication, the image features of the palm veins are obtained, which only exist when the palm is alive, and the vein image features cannot be obtained for non-living palms. [0005] (2) As an intrinsic feature, the palm vein is difficult to be destroyed and changed. [0006] (3) Palm veins are difficult to imitate with a fake palm. [0007] (4) The palm vein recognition system has a high accuracy rate due to the uniqueness and complexity of the veins. [0008] (5) The palm vein system is non-contact. [0009] For the above reasons, the us...

AI Technical Summary

Problems solved by technology

[0006] (3) Palm veins are difficult to imitate with fake palms

[0012] For low-contrast or noisy images, the method based on vein texture cannot accurately extract veins, and the accuracy of the global transformation method that does not consider local information is not high.

Images