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

A feature extraction and finger vein technology, which is applied in the field of finger vein recognition, can solve problems such as difficulty in meeting actual efficiency requirements, large calculation overhead, and large calculation load, and meet real-time requirements, reduce calculation load, and improve feature extraction speed. Effect

Inactive Publication Date: 2019-03-29
智慧眼科技股份有限公司
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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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  • Finger-vein feature extraction method, comparison method, storage medium and processor
  • Finger-vein feature extraction method, comparison method, storage medium and processor
  • Finger-vein feature extraction method, comparison method, storage medium and processor

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Embodiment Construction

[0065] It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other.

[0066] The usual way to filter an image is to convolve the image with the filter template. If the image I is to be filtered with a filter G with a template size of N×M, the filtering result for:

[0067]

[0068] The filter template size in the implementation is given by σ u and σ v Determined, such as N=[ασ u ], M=[ασ v ], where α generally takes the value of 3, 4 or 5. If convolution is used to implement filtering, the calculation of each pixel requires at least NM multiplications and NM-1 additions. When α is 5 and σ is 10 (assuming σ u and σ v Both take 10), so N and M are both 50, then the calculation steps of multiplication and addition in the filter calculation of each pixel are nearly 5000 times, and when the image size is 200X200, there are nearly 200 million calculation steps. It can b...

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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...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/46
CPCG06V40/10G06V40/14G06V10/443
Inventor 刘永松
Owner 智慧眼科技股份有限公司
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