KAZE feature-based hand back vein recognition method

A vein recognition and hand back technology, applied in the field of image recognition, can solve the problem of low definition

Inactive Publication Date: 2019-08-23
LIAONING UNIVERSITY OF TECHNOLOGY
View PDF6 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] It can be seen from related research that the recognition algorithm based on feature points can better meet the requirements of recognition accuracy and real-time performance at the same time, but for the poor image quality and low definition of hand vein images, how to retain The detailed information of the image, so as to obtain more accurate feature points still need further improvement

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
  • KAZE feature-based hand back vein recognition method
  • KAZE feature-based hand back vein recognition method
  • KAZE feature-based hand back vein recognition method

Examples

Experimental program
Comparison scheme
Effect test

specific Embodiment

[0148] The performance of the recognition algorithm will be measured by the following three evaluation indicators: false recognition rate (False Accept Rate, FAR), false rejection rate (False Rejection Rate, FRR), and correct recognition rate (Genuine Accept Rate, GAR), as shown in formula (1) , formula (2), formula 3) shown.

[0149]

[0150]

[0151]

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 KAZE feature-based hand back vein recognition method, which comprises the following steps of: 1, preprocessing an acquired hand back vein image, and carrying out feature point extraction on the preprocessed image based on a KAZE algorithm; step 2, performing coarse matching on the feature points extracted from the two images by using a nearest neighbor ratio method to obtain coarse matching feature points; and step 3, performing fine matching on the coarse matching feature points again by using an RANSAC algorithm to obtain matching points. The invention provides a KAZE feature-based hand back vein recognition method, which can significantly reduce the false recognition rate and the recognition time, and has good recognition accuracy and real-time performance.

Description

technical field [0001] It relates to the field of image recognition, in particular to a method for recognizing veins on the back of the hand with KAZE characteristics. Background technique [0002] At present, the research on vein recognition is mainly based on the multi-scale features of gray images and binary image features. Among them, the representative gray image multi-scale features include second-order wavelet transform, bandlet (Bandelet) decomposition contourlet (Curvelet) decomposition, Gabor decomposition, Gabor transform coding, SIFT feature points, SURF feature points, etc.; Value image features mainly include position of intersection and endpoint, structural relationship between feature points, binary vein curve information encoding, etc. Based on the above two thought recognition algorithms, they have achieved certain recognition effects to varying degrees. [0003] It can be seen from related research that the recognition algorithm based on feature points c...

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): G06K9/00G06K9/62
CPCG06V40/10G06V40/14G06F18/22
Inventor 王锦凯贾旭
Owner LIAONING UNIVERSITY OF TECHNOLOGY
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