Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Filter and trunk edge based finger vein recognition method and system

A recognition method, finger vein technology, applied in the field of image processing, can solve the problems of minimum feature point matching influence, noise influence, instability, etc., to achieve the effect of reducing noise influence error rate, reducing matching error, and improving accuracy

Inactive Publication Date: 2017-11-21
GUANGZHOU INTELLIGENT CITY DEV INST +1
View PDF8 Cites 26 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the traditional minimum feature point matching is seriously affected by noise and has low redundancy.
[0005] Existing matching schemes include matching based on minutiae feature points, which are matched by calculating the Euclidean distance after extracting minutiae feature points, but the matching based on minutiae feature points is seriously affected by rotation, is very unstable, and is seriously affected by noise

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
  • Filter and trunk edge based finger vein recognition method and system
  • Filter and trunk edge based finger vein recognition method and system
  • Filter and trunk edge based finger vein recognition method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0057] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0058] figure 1 is a schematic flow chart of a finger vein recognition method based on filters and trunk edges in an embodiment of the present invention, as shown in figure 1 As shown, the method includes:

[0059] S11: preprocessing the image, and obtaining the preprocessed image;

[0060] S12: Perform feature extraction processing on the preprocessed image, and obtain backbone edge feature points of the preprocessed image;

[0061] S13: Compare the feature poi...

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 invention discloses a filter and trunk edge based finger vein recognition method and system and overcomes instability of minimum feature points and improves redundancy of noise. The method includes performing pretreatment on an image and acquiring an image subjected to pretreatment; performing feature extraction on the image subjected to pretreatment and acquiring trunk edge feature points of the image subjected to pretreatment; comparing the trunk edge feature points of the image subjected to pretreatment with point set of a standard template, judging matching of two images as success if the matching result of the two point set is smaller than a preset threshold value and judging matching of the two images as failure if the matching result of the two point set is not smaller than a preset threshold value. According to the invention, through pretreatment, feature extraction and matching of the image in sequence, finger vein recognition accuracy can be improved effectively.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a method and system for recognizing finger veins based on filters and trunk edges. Background technique [0002] Finger vein recognition technology is one of the most promising members of the biometric family. Due to its high security, anti-counterfeiting, and liveness, it has become a research direction of concern. Under the condition of ensuring 100% registration rate, the rejection rate is less than 0.01%, and the false recognition rate is less than 0.00001%, but there are still many deficiencies in finger vein recognition technology. [0003] Infrared imaging is mostly used for finger veins, and the illumination of the collected images varies greatly, which causes great difficulties in matching and identification. [0004] Finger vein feature extraction is divided into two categories: local features and global features. Among them, the most important type of local f...

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 Applications(China)
IPC IPC(8): G06K9/00G06K9/34G06K9/46G06K9/40G06K9/62
CPCG06V40/10G06V40/14G06V10/267G06V10/30G06V10/44G06F18/22
Inventor 胡建国王金鹏王德明
Owner GUANGZHOU INTELLIGENT CITY DEV INST
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com