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

Detection algorithm for mirror surface foreign matters of finger vein equipment

A detection algorithm, finger vein technology, applied in computing, computer parts, subcutaneous biometrics, etc., can solve the problems of increasing false recognition rate and foreign objects in finger vein equipment, and achieve the goal of reducing false recognition rate, eliminating fixed noise, reducing Effects of security risks

Active Publication Date: 2020-02-28
TOP GLORY TECH INC CO LTD
View PDF5 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In order to solve the problem that foreign matter appears on the mirror surface of the finger vein device and cause the false recognition rate to increase, the present invention provides a detection algorithm for foreign matter on the mirror surface of the finger vein device

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
  • Detection algorithm for mirror surface foreign matters of finger vein equipment
  • Detection algorithm for mirror surface foreign matters of finger vein equipment
  • Detection algorithm for mirror surface foreign matters of finger vein equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0036] A detection algorithm for foreign matter on the mirror surface of a finger vein device, the algorithm is implemented by the following steps:

[0037] Step S1: using the finger vein device to collect M finger vein images of the user;

[0038] Step S2: Perform normalization processing on each of the collected finger vein images;

[0039] Step S3: performing multi-scale Gaussian filtering on each finger vein image after normalization processing;

[0040] Step S4: For each finger vein image after Gaussian filtering, subtract the Gaussian filtering results of adjacent scales to obtain N noise images corresponding to each finger vein image, and the noise size contained in the N noise images vary;

[0041] Step S5: Perform multi-directional filtering on each noise image, thereby obtaining a binary image in which finger vein information is filtered and noise is retained;

[0042] Step S6: sort the N binary images corresponding to each finger vein image in ascending order of ...

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 relates to a biometric feature recognition and information security technology,in particular to a detection algorithm for mirror surface foreign matters of finger vein equipment. The problem that the false accept rate is increased due to the fact that foreign matter appears on the mirror surface of the finger vein equipment is solved. The algorithm is realized by adopting the following steps: S1,collecting a finger vein image; S2,carrying out normalization processing; S3,performing Gaussian filtering; S4,obtaining a noise image; S5,obtaining a binary image; S6,determining a noiselevel; S7,setting a noise threshold value; S8,comparing the noise level of the first binary image with a noise threshold; S9,determining the noise level of the binary image obtained by superposition;S10,comparing the noise level of the next binary image with a noise threshold value; S11,determining the noise level of the binary image obtained by superposition; and step S12,circularly executing the steps S10 to S11. The method is suitable for the field of security.

Description

technical field [0001] The invention relates to biological feature identification and information security technology, in particular to a detection algorithm for foreign objects on the mirror surface of finger vein equipment. Background technique [0002] Finger vein recognition technology is an emerging biometric identification technology, which uses finger vein equipment to collect images of vein distribution in fingers for identity authentication. During the use of the finger vein device, due to the long-term uncleanness of the user or the deliberate attack of criminals, foreign objects often appear on the mirror surface of the finger vein device. As a result, the finger vein images collected by the finger vein device contain fixed noise, resulting in The false recognition rate of finger vein devices increases, which in turn leads to an increase in the security risk of identity authentication. Based on this, it is necessary to invent a detection algorithm for foreign mat...

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
IPC IPC(8): G06K9/00G06K9/40
CPCG06V40/1365G06V40/10G06V40/14G06V10/30
Inventor 张烜赵国栋杨爽李学双
Owner TOP GLORY TECH INC CO LTD
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