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Finger vein feature extraction and recognition method and device based on terrain point classification

A feature extraction and recognition method technology, applied in biometrics, subcutaneous biometrics, character and pattern recognition, etc., can solve problems such as poor finger vein image recognition effect and poor recognition performance

Inactive Publication Date: 2020-12-04
北京圣点云信息技术有限公司
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AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by the present invention is to provide a finger vein feature extraction and recognition method and device based on topographic point classification to solve the problem of poor recognition of low-quality finger vein images in the existing finger vein image extraction technology Vein image recognition technology has problems such as poor recognition performance when zooming and rotating finger vein images

Method used

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  • Finger vein feature extraction and recognition method and device based on terrain point classification
  • Finger vein feature extraction and recognition method and device based on terrain point classification
  • Finger vein feature extraction and recognition method and device based on terrain point classification

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Embodiment 1

[0124] This embodiment relates to a finger vein feature extraction and recognition method based on terrain point classification, the method includes two parts: finger vein feature extraction and finger vein comparison,

[0125] Refer to attached figure 1 Said, finger vein feature extraction comprises the following steps:

[0126] 1) Collect registered finger vein images and verify finger vein images. The size of the collected images is 360*180. Use a multi-scale Gaussian filter (a five-scale Gaussian filter is used in this embodiment) to extract finger vein image information of different scales. Its calculation formula is:

[0127]

[0128]

[0129] formula,

[0130] PG k (i, j) is the extracted finger vein image data at the kth Gaussian scale;

[0131] P(i, j) is the collected finger vein image data, and the finger vein image data includes registered finger vein image or verified finger vein image data;

[0132] G k (x,y) is the kth Gaussian template function; ...

Embodiment 2

[0247] Refer to attached image 3 As shown, the present embodiment relates to a finger vein feature extraction and recognition device based on terrain point classification, which includes:

[0248] The image acquisition and extraction module is used to acquire registered finger vein images and verify finger vein images, and extract finger vein image information of different scales by using a multi-scale Gaussian filter; the image acquisition and extraction module is used to realize the function of step 1) of embodiment 1.

[0249] The normalization processing module is used to perform image size normalization processing on the registered finger vein images and the verification finger vein images extracted at different Gaussian scales; the normalization processing module is used to realize step 2) of embodiment 1 Function.

[0250] The clipping module is used to clip the boundaries of the registered finger vein image and the verified finger vein image respectively after normal...

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Abstract

The invention relates to a terrain point classification-based finger vein feature extraction and recognition method and device. The method comprises the following steps of 1) extracting finger vein image information of different scales by adopting a multi-scale Gaussian filter; 2) respectively carrying out image size normalization processing on the finger vein images; 3) performing boundary cutting on the finger vein image; 4) performing terrain characteristic point extraction on the finger vein image based on two local parameters of a connectivity value and a curvature differential in the digital elevation model, and classifying terrain characteristic points to obtain finger vein characteristics; 5) performing feature assembly on the finger vein features; 6) performing translation calibration correction on the finger vein features; and 7) carrying out sliding window similarity calculation on an overlapping region of the registered finger vein feature and the verified finger vein imageto complete comparison of the registered finger vein feature and the verified finger vein image. The method solves the problem that the existing finger vein technology is poor in recognition effect on the low-quality finger vein image with scaling and rotation.

Description

technical field [0001] The invention belongs to the technical field of image recognition and processing, and in particular relates to a finger vein feature extraction and recognition method and device based on terrain point classification. Background technique [0002] Finger vein recognition technology is a new biometric technology, because of its high security, it has attracted more and more attention from the market. Finger vein recognition technology is divided into finger vein feature extraction technology and finger vein feature comparison technology. Currently commonly used finger vein feature extraction technologies include: finger vein skeleton line extraction technology, finger vein feature point extraction technology and finger vein binary extraction technology. These feature extraction technologies have high requirements on the image quality of finger veins and cannot tolerate A low-quality image with blurry finger vein images. Currently commonly used finger ve...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/34G06K9/46G06K9/62
CPCG06V40/10G06V40/50G06V40/14G06V10/267G06V10/44G06F18/22G06F18/24
Inventor 赵国栋张烜辛传贤李学双
Owner 北京圣点云信息技术有限公司
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