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

Recognition method of proximal interphalangeal joint texture based on gabor wavelet

A recognition method and joint technology, applied in the field of pattern recognition, can solve problems such as poor stability, achieve good resistance, resist image noise interference, and ensure security.

Inactive Publication Date: 2020-09-29
YIBIN UNIV
View PDF8 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The LBP algorithm is less stable in the noise environment

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
  • Recognition method of proximal interphalangeal joint texture based on gabor wavelet
  • Recognition method of proximal interphalangeal joint texture based on gabor wavelet
  • Recognition method of proximal interphalangeal joint texture based on gabor wavelet

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0018] Specific embodiments of the present invention are specified below:

[0019] The content of the invention is divided into two parts: feature extraction and identification and authentication. The targets of recognition are the lines on the back of the proximal interphalangeal joints of the fingers, see figure 1 The area enclosed by the middle rectangle, for a side view see figure 1 In the right picture, the intercepted area is about 2cm. The feature extraction part will finally obtain the features of the finger image; the recognition part is to compare the features of the currently collected identity with the registered inter-finger joint feature vectors. The concrete steps that the inventive method realizes are as follows:

[0020] Step 1. Segment the region of interest (ROI) at the interfinger joints:

[0021] Step 1.1. Perform threshold segmentation on the finger image to obtain ROIs at the first joints of the four fingers.

[0022] In step 1.2, the four ROIs are ...

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 utilizes Gabor wavelet decomposition to extract the texture features of the interphalangeal joints of four fingers (index finger, middle finger, ring finger and little finger). Feature extraction will eventually result in a covariance matrix between Gabor wavelet subbands. The covariance matrix can describe the correlation structure between the Gabor wavelet subbands, and it has better discrimination than calculating the subband variance in an independent way; the identification part is to compare the current acquisition identity Gabor subband covariance matrix with the memory Comparison between Gabor subband covariance matrices of registered identities. In order to improve the performance, the Gabor wavelet sub-band is firstly transformed by CDF (cumulative distribution function), and then the transformed result is calculated. Main features of the present invention: (1) The identification method has high security, and the characteristics of the four fingerprints ensure the security of the system; (2) It has good resistance to noise, and Gabor wavelet transform and CDF projection can effectively resist image noise interference .

Description

technical field [0001] The invention relates to a method for identifying interphalangeal joint lines, in particular to a method for identifying proximal interphalangeal joint lines of multiple fingers using Gabor wavelet transform, and belongs to the field of pattern recognition. Background technique [0002] Identity authentication based on human biometrics is widely used. Fingerprints, faces, and irises are currently the most widely used biometrics in the market. The use of the above-mentioned feature processing techniques is complex and susceptible to environmental and noise interference, thus affecting its use value to a certain extent. For example, fingerprint features are more sensitive to pollution factors such as dust and humidity, and finger fingerprints are easily obtained illegally (for example, fingerprints left on objects when holding things are easily collected and simulated illegally); human faces are susceptible to factors such as light, posture, and decorat...

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): G06K9/00G06K9/32G06K9/62
CPCG06V40/1376G06V10/25G06F18/22
Inventor 李朝荣杨睿黄东
Owner YIBIN UNIV
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