Method and device for finger vein recognition based on improved local binary model

A local binary model and finger vein technology, applied in character and pattern recognition, computer components, fingerprint/palmprint acquisition/organization, etc., can solve problems such as inability to find the optimal solution, large mismatch, slow speed, etc. It is easy to achieve parallelization, overcome the influence of noise, and improve the accuracy of recognition

Active Publication Date: 2019-04-19
BEIJING HISIGN TECH
View PDF6 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, its disadvantage is that there are negative numbers in the singular vector obtained by SVD decomposition, which cannot explain its physical meaning well; on the other hand, the method of SVD decomposition is difficult to parallelize, resulting in a very slow speed
Huangrian's method, also known as the Hungarian algorithm, regards the matching problem as an allocation problem, but the algorithm is sometimes difficult to converge and cannot find the optimal solution
In addition, when these two methods match feature points, the probability of mismatching is relatively high.

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
  • Method and device for finger vein recognition based on improved local binary model
  • Method and device for finger vein recognition based on improved local binary model
  • Method and device for finger vein recognition based on improved local binary model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0019] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are the Some, but not all, embodiments are invented. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0020] see figure 1 , this embodiment discloses a finger vein recognition method based on an improved local binary model, including:

[0021] S1. Obtain the image of the finger vein to be identified, locate the position of the feature point of the finger vein, and calculate the LmTP feature of each feature point based on the improved local binary model;

[0022] S2. M...

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 finger vein recognition method and device based on an improved local binary model, which can overcome the influence of noise, improve the recognition accuracy and be easy to achieve in parallel. S1, acquire the finger vein image to be identified, locate the finger vein feature point position, and calculate the LmTP feature of each feature point based on the improved local binary model; S2, compare the finger vein by means of the fusion distance and the similarity of the LmTP feature Match the feature points with the finger vein feature points of the preset template image; S3, calculate the global similarity of the matching point pair according to the matching result; S4, perform finger vein recognition on the finger vein image according to the global similarity .

Description

technical field [0001] The invention relates to the fields of image processing and pattern recognition, in particular to a finger vein recognition method and device based on an improved local binary model. Background technique [0002] Vein recognition technology is Hitachi's discovery in the medical field that deoxygenated hemoglobin in veins can absorb near-infrared rays of a certain wavelength, and that human veins are unique. Finger vein recognition has attracted much attention as a second-generation biometric technology with high anti-counterfeiting. [0003] At present, the common finger vein recognition algorithm is a method using local information, such as LBP and its derived LDP, LTP, EQP and other methods. The method using local shape information first locates the feature points of the finger vein image, and then matches and recognizes the new finger vein image through the shape of the feature points. Because only the feature points are used, the template obtaine...

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): G06K9/00
CPCG06V40/13G06V40/1365
Inventor 刘晓春张虎王贤良何智翔
Owner BEIJING HISIGN TECH
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