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

Finger vein image noise accurate extraction and adaptive filtering denoising method and device

An adaptive filtering and image noise technology, applied in the detection of active finger shape, character and pattern recognition, acquisition/organization of fingerprints/palmprints, etc. User experience, improved recognition performance, accurate and fast filtering effect

Active Publication Date: 2020-09-08
TOP GLORY TECH INC CO LTD
View PDF14 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to solve the defect that the positioning of the noise area of ​​the finger vein image is not accurate enough in the process of finger vein recognition in the prior art, and the filtering processing speed is not fast enough, and proposes a method and device for accurate extraction of finger vein image noise and adaptive filtering denoising

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
  • Finger vein image noise accurate extraction and adaptive filtering denoising method and device
  • Finger vein image noise accurate extraction and adaptive filtering denoising method and device
  • Finger vein image noise accurate extraction and adaptive filtering denoising method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0056] combined with figure 1 As shown, the precise extraction of finger vein image noise involved in the present invention and the adaptive filter denoising method include the following steps:

[0057] 1) For a finger vein grayscale image, such as figure 2As shown, the image size is 320×140. It is obvious that there are noise points with low gray value and scattered distribution in the image. Based on the two-dimensional Gaussian template, the multi-directional curvature response value of the finger vein image is calculated. The specific steps include:

[0058] 1.1) Construct the curvature calculation operator in 8 directions according to the two-dimensional Gaussian function, the two-dimensional Gaussian function is:

[0059]

[0060] In the formula, x and y represent the length and width of the template respectively, and the two-dimensional Gaussian template selected in the present embodiment is a square template of 9 * 9, and x=y=9;

[0061] 1.2) Calculation of multi...

Embodiment 2

[0085] refer to Figure 7 As shown, the present embodiment relates to a device for precise extraction of finger vein image noise and adaptive filter denoising, including:

[0086] 1) A calculation module, which calculates the multi-directional curvature response value of the finger vein image based on a two-dimensional Gaussian template; the calculation module is a module for realizing the function of step 1) of Embodiment 1.

[0087] 2) The noise area extraction module is used to set the maximum curvature response value threshold T 1 , the curvature response value threshold S and the number threshold T exceeding the curvature response value threshold 2 , determine the noise region and extract the noise region image according to the distribution of the curvature response value; the noise region extraction module is a module that realizes the function of step 2) of the first embodiment.

[0088] 3) The noise area filtering module is used to filter out the noise area through t...

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 finger vein image noise accurate extraction and adaptive filtering denoising method and device. The method comprises the following steps: 1) calculating a multidirectional curvature response value of a finger vein image based on a two-dimensional Gaussian template; 2) setting a maximum curvature response value threshold value T1, a curvature response value threshold value S and a quantity threshold value T2 exceeding the curvature response value threshold value, determining a noise region according to the curvature response value distribution condition, and extracting a noise region image; and 3) filtering the noise area through a turn-by-turn adaptive median filtering method to obtain a denoised finger vein image. The device comprises a calculation module, a noise region extraction module and a noise region filtering module. According to the method, the noise of the finger vein image can be accurately and effectively detected, the detected noise area is accurately and quickly filtered, the recognition performance of the finger vein image containing the noise is effectively improved, and the actual use experience of a finger vein recognition system is improved.

Description

technical field [0001] The invention belongs to the technical field of biometric feature recognition in information security, and in particular relates to a method and device for precise extraction of finger vein image noise and self-adaptive filter denoising. Background technique [0002] Finger vein recognition technology belongs to biometric identification technology and is a typical technology in the second generation of biometric identification technology. Its outstanding technical feature is that the collected biometrics are located in the body, which is more secure and irreproducible than traditional biometrics such as fingerprints and faces. Its feature collection relies on the absorption of near-infrared light by hemoglobin in the blood, which guarantees the identification of living bodies from the root. At the same time, the finger vein pattern is unique and invariable for a long time. It is a highly safe biological feature with great research value. . [0003] T...

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): G06K9/00G06K9/32G06K9/40
CPCG06V40/1388G06V10/25G06V10/30Y02T90/00
Inventor 赵国栋张烜蓝师伟李学双
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

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