A method and device for repairing abnormal vein images

A vein image and repair method technology, applied in the field of abnormal vein image repair method and device, can solve the problems of poor removal effect of abnormal area of ​​vein image and the like

Active Publication Date: 2021-02-19
TOP GLORY TECH INC CO LTD
View PDF15 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by the present invention is to provide a method and device for repairing abnormal vein images to solve the problem of poor removal effect of large abnormal areas of finger vein images

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A method and device for repairing abnormal vein images
  • A method and device for repairing abnormal vein images
  • A method and device for repairing abnormal vein images

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0077] The internal area of ​​a normal finger vein image can be divided into a background area and a vein area. The background area is an area with a high gray value, and the vein area is an area with a low gray value. Both belong to the normal area of ​​the finger vein image. The abnormal finger vein image also contains abnormal areas. The common abnormal areas are that in the process of finger vein image acquisition, foreign objects appearing in the acquisition window or attached to the finger block the light source, or the hardware failure of the acquisition equipment results in abnormal areas in the finger vein image. The regions with low gray values ​​are shown in the The blood in the veins of fingers only has a strong absorption of near-infrared light, and the light source of the collection equipment also has natural light in addition to near-infrared light, so the gray value of the vein area is relatively low, and after foreign objects block the light source, due to The...

Embodiment 2

[0126] Refer to attached Figure 7 As shown, the present invention also relates to a device for repairing abnormal vein images, which includes:

[0127] 1) Abnormal area screening and processing module, which divides the finger vein image into several segments according to the gradient in the horizontal and vertical directions, and according to the starting point, ending point, average gray value of each segment and the corresponding entire row Or the difference of the gray value of the whole column judges the abnormal area, and expands the abnormal area; the abnormal area screening and processing module is used to realize the function of step 1) of embodiment 1.

[0128] 2) The direction filtering module, which performs direction filtering to determine the direction information of each point in the normal area for the normal area except the abnormal area; the direction filtering template is used to realize the function of step 2) of the first embodiment.

[0129] 3) The opti...

experiment example

[0133] The effectiveness of the method for repairing abnormal veins involved in the present invention is verified by comparing the recognition rates before and after repairing the abnormal image database.

[0134] First, a normal image / finger is collected as a registration image, and a total of 500 fingers are collected. Then collect the abnormal images of these 500 fingers. The method is to paste a small piece of paper on the finger of the person to be collected, and collect 10 abnormal images for each finger as a verification image. For comparison, the simulation and recognition rate comparisons are also made with the commonly used image denoising algorithms median filter and mean filter.

[0135]The comparison adopts a 1:N comparison method, that is, 1:500, and there are a total of 5,000 comparison results, which are divided into a comparison success rate test and a comparison recognition false rate test. The comparison success rate test is that when the verification resul...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The present invention relates to a method and device for repairing abnormal vein images. The repair method includes the following steps: 1) divide the finger vein image into several segments according to the gradient in the horizontal direction and the vertical direction, judge the abnormal area, and Expand the abnormal area; 2) For the normal area except the abnormal area, perform direction filtering to determine the direction information of each point in the normal area; 3) Select the direction neighborhood template with the highest matching degree with the point to be repaired; 4) Find the current According to the repaired gray value of the point to be repaired, the repaired point is repaired according to the repaired gray value, and the repaired point is marked as a point in the normal area, and then return to step 3) to traverse the entire abnormal area to be repaired until all All points to be repaired. The technical scheme proposed by the invention completes the repair of the whole image, and makes up for the defect of the prior art that the effect of removing large abnormal areas is not good.

Description

technical field [0001] The invention belongs to the technical field of biological feature recognition in information security, and in particular relates to a method and device for repairing abnormal vein images. Background technique [0002] With the development of the times and the maturity of technology, finger vein recognition technology has been applied in many scenarios, such as smart door locks, safes, gate passages and access control. With the expansion of the application scope, the current finger vein recognition algorithm is facing more and more challenges, and the abnormal finger vein images have always had the problem of low success rate of comparison. Affected by the current technology of finger vein collection equipment and complex application scenarios, there is a certain probability that abnormal finger vein images will appear. An abnormal finger vein image means that there are large abnormal areas in the image, resulting in less information available in the ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00G06T7/00G06T7/11
CPCG06T5/002G06T5/005G06T7/0012G06T2207/20032G06T2207/30101G06T7/11
Inventor 赵国栋蓝师伟张烜李学双
Owner TOP GLORY TECH INC CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap