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

Finger three-mode fusion recognition method, system and device and storage medium

A fusion method and fusion recognition technology, applied in character and pattern recognition, neural learning methods, biological neural network models, etc., can solve problems such as lack of feature expression methods and inability to achieve feature fusion, achieve consistent feature size, and improve recognition accuracy. Effect

Active Publication Date: 2021-11-02
SHENZHEN POLYTECHNIC
View PDF9 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The present invention provides a finger three-modal fusion recognition method, system, device and storage medium. The technical problem to be solved is that the existing finger three-modal feature fusion recognition method cannot achieve stable feature fusion, and at the same time lacks a general feature expression method

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 three-mode fusion recognition method, system and device and storage medium
  • Finger three-mode fusion recognition method, system and device and storage medium
  • Finger three-mode fusion recognition method, system and device and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0059] The embodiment of the present invention will be explained in detail below in conjunction with the accompanying drawings. The examples given are only for the purpose of illustration, and cannot be interpreted as limiting the present invention. The accompanying drawings are only for reference and description, and do not constitute the scope of patent protection of the present invention. limitations, since many changes may be made in the invention without departing from the spirit and scope of the invention.

[0060] The embodiment of the present invention provides a finger three-modal fusion recognition method, system, device and storage medium, such as figure 1 As shown, the method includes:

[0061] S1. Perform superpixel segmentation on the collected original finger trimodal image to obtain superpixel blocks.

[0062] In one embodiment, this embodiment first collects three modal images of the fingerprint, finger vein and knuckle pattern on the finger to obtain the ori...

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 the technical field of biological feature recognition, in particular to a finger three-mode fusion recognition method, system and device and a storage medium, and the method comprises the steps of carrying out the normalization processing of a finger three-mode weighted graph through a parallel network, and obtaining the features of a finger three-mode graph; and fusing the finger three-mode graph features through a competition fusion method and a feature vector centrality fusion method to obtain fused features. According to the invention, the finger three-modal features are constructed into the graph features with consistent feature space based on the superpixel segmentation method, and meanwhile, the effective fusion of the finger three-modal graph features is realized by utilizing the node feature information and the structure information of the graph, so that the finger three-modal recognition precision is remarkably improved; in addition, the problem that effective fusion of finger three-mode features is affected due to inconsistent sizes of three-mode images is effectively solved through a parallel network.

Description

technical field [0001] The present invention relates to the technical field of biological feature recognition, in particular to a method, system, device and storage medium for three-modal fusion recognition of fingers based on a graph convolutional neural network. Background technique [0002] With the rapid development of the information age, intelligent identification systems can be seen everywhere in people's life and work, such as mobile phones, security inspection machines, access control machines and various online payment software, which promotes the development of identification technology; traditional The current identification technology can no longer meet people's needs for high-performance identification. Therefore, the identification technology based on biometrics has become the focus of researchers. [0003] At present, biometric recognition technology has become an important branch in the field of pattern recognition, and it is also one of the key development ...

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): G06K9/00G06N3/04G06N3/08
CPCG06N3/08G06N3/045
Inventor 张海刚曲宏旭杨金锋薛元飞
Owner SHENZHEN POLYTECHNIC
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