Finger-vein feature extraction method, comparison method, storage medium and processor

Abstract

The invention discloses a finger-vein feature extraction method, a comparison method, a storage medium and a processor. The finger-vein feature extraction method includes such steps as convoluting a finger vein image with g (x, sigma 1) cos (k1x) in horizontal direction, convoluting finger vein image with g (y, sigma 1) cos (k2y) in vertical direction to obtain first intermediate result, convoluting of finger vein image with g (x, sigma 1) cos (k2y) in horizontal direction to obtain first intermediate result, convoluting the finger vein image with g (x, sigma 1) cos (k2y) in vertical directionto obtain first intermediate result, convoluting the the finger vein image with g (x, sigma 1) cos (k2y). The vein image is convoluted with g (x, sigma 1) sin (k 1 x) in horizontal direction and thenwith g (y, sigma 1) sin (k 2 y) in vertical direction to obtain the second intermediate result; Gaussian convolution of that vein image in the horizontal and vertical directions is perform and multiplied (shown in the description) to obtain a third intermediate result; The first intermediate result is subtracted from the second intermediate result, and the third intermediate sum is obtained to obtain the final result, that is, the filtering result of Gabor, that is, the Gabor feature of the image is extracted. The invention effectively reduces the calculation amount, improves the feature extraction speed, effectively reduces the calculation overhead and consumes the memory, meets the real-time requirement, and has low calculation complexity.

Description

technical field [0001] The invention relates to the field of finger vein recognition, in particular to a finger vein feature extraction method, a comparison method, a storage medium and a processor. Background technique [0002] Finger vein recognition is a new biometric technology developed based on the characteristics of hemoglobin in blood that absorbs near-infrared rays. In the application of finger vein recognition, due to the natural anti-attack characteristics of the vein imaging principle, it has attracted much attention in the field of biometric recognition applications. [0003] In the fields of image processing, pattern recognition and computer vision, filters have been widely used. The Gabor function is the only function that can achieve the lower bound of the joint uncertainty relationship in the space domain and the frequency domain. The two-dimensional Gabor filter formed by the Gabor function has the characteristics of obtaining the optimal localization in t...

AI Technical Summary

Problems solved by technology

[0012] The present invention provides a finger vein feature extraction method, a comparison method, a storage medium and a processor to solve the technical problems of the existing method that the calculation cost is large, the memory is small and high, and the amount of calculation is large, which makes it difficult to meet the actual efficiency requirements.

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