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Feature extraction method for low-quality finger vein image

A feature extraction and finger vein technology, applied in the field of low-quality finger vein image recognition, can solve the problems of less feature information, unfavorable matching rate, ignoring the effective information of non-vein features of the image, etc., to improve the matching rate, increase edge information and Background information, the effect of reducing the false match rate

Active Publication Date: 2020-11-06
NANJING UNIV OF POSTS & TELECOMM
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AI Technical Summary

Problems solved by technology

However, methods based on vein networks usually rely on finger vein segmentation algorithms, and also ignore some effective information such as non-vein features of the image, such as finger edges and finger thickness.
For low-quality images, less feature information is often extracted, which is not conducive to improving the matching rate

Method used

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  • Feature extraction method for low-quality finger vein image
  • Feature extraction method for low-quality finger vein image
  • Feature extraction method for low-quality finger vein image

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Embodiment Construction

[0029] The technical solution of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0030] The invention is a feature extraction method for low-quality finger vein images. In the pre-processing link, in view of the severe offset of the finger vein image and the loss of part of the information by directly cropping the image, the present invention introduces a displacement displacement method to displace the image. Considering the shortcomings of local pattern methods and vein network methods, the present invention proposes to extract PBBM features on the basis of MCM feature extraction for images. In this way, clearer finger vein features can be extracted while retaining the full image information, and the recognition accuracy of low-quality images can be effectively improved.

[0031] The main steps of this method are as follows:

[0032] Step 1: Image preprocessing.

[0033] Calculate the median mid of the total...

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Abstract

The invention discloses a feature extraction method for a low-quality finger vein image, and the invention introduces a displacement replacement method for the displacement of an image in consideration of the severe deviation of the finger vein image and the loss of part of information caused by the direct cutting of the image in a preprocessing link. Considering the defects of a local mode methodand a vein network method, the invention provides superposition extraction of PBBM features on the basis of MCM feature extraction of an image. Therefore, clearer finger vein features can be extracted under the condition that full-image information is reserved, and the recognition accuracy of a low-quality image is effectively improved.

Description

technical field [0001] The invention relates to a feature extraction method for low-quality finger vein images, belongs to the field of biological feature recognition, and mainly solves the recognition problem of low-quality finger vein images. Background technique [0002] Finger vein recognition is a technology that uses images of blood vessels under the skin of a finger for personal authentication. The structure of the vein pattern of the finger is complex, and the vein pattern can only be captured on the living body, and it is not easy to copy or forge the vein. In addition, veins are wrapped by skin, and it is difficult for external factors to change the growth structure of veins, such as wet, greasy, worn fingers, etc. In addition, finger veins also have the advantages of uniqueness, universality and measurability. Therefore, finger vein biometric identification is a very safe and reliable technology. [0003] In finger vein recognition, there are mainly steps such ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/46G06K9/62
CPCG06V40/10G06V40/14G06V10/443G06F18/24G06F18/214
Inventor 郭剑李蓉刘星利穆恒宇成洋王菁韩崇王娟
Owner NANJING UNIV OF POSTS & TELECOMM
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