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

Image recognition method and device

An image recognition and face recognition technology, applied in the field of face recognition, can solve the problem of low recognition accuracy, and achieve the effect of improving the recognition accuracy

Inactive Publication Date: 2018-11-09
GUANGZHOU SHIYUAN ELECTRONICS CO LTD
View PDF6 Cites 15 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] Embodiments of the present invention provide an image recognition method and device to at least solve the technical problem of low recognition accuracy when multiple recognition algorithms are used to recognize face images

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
  • Image recognition method and device
  • Image recognition method and device
  • Image recognition method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0029] According to an embodiment of the present invention, an embodiment of an image recognition method is provided. It should be noted that the steps shown in the flow charts of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and, although in The flowcharts show a logical order, but in some cases the steps shown or described may be performed in an order different from that shown or described herein.

[0030]This application can realize the application of multiple different face recognition algorithms to a specific scene for face recognition, and has a wide range of application scenarios and strong adaptability. It can be applied to a specific scene through the fusion of several general scene recognition algorithms , and can improve the recognition accuracy of general recognition algorithms.

[0031] figure 1 is a flow chart of the steps of an image recognition method according to an embodiment of the present ...

Embodiment 2

[0082] The embodiment of the present invention also provides an image recognition device. It should be noted that the method steps provided in Embodiment 1 above can be executed in the image recognition device provided by the embodiment of the present invention, but not limited to.

[0083] Figure 5 is a schematic structural diagram of an image recognition device according to an embodiment of the present invention, such as Figure 5 As shown, the device includes the following modules: an acquisition module 50, an assignment module 52, a determination module 54 and an identification module 56, wherein,

[0084] The acquisition module 50 is used to acquire at least one face recognition algorithm; the assignment module 52 is used to assign corresponding weights to at least one face recognition algorithm respectively, and determine the weight value of at least one face recognition algorithm; the determination module 54 , used to determine the similarity value of at least one fac...

Embodiment 3

[0088] An embodiment of the present invention also provides a storage medium, and the storage medium includes a stored program, wherein the program executes any optional or preferred image recognition method described above.

[0089] The storage medium provided by the embodiments of the present invention is used to store a program that performs the following functions: acquire at least one face recognition algorithm; assign corresponding weights to at least one face recognition algorithm, and determine the weight of at least one face recognition algorithm value; by comparing at least one face recognition algorithm to identify the initial recognition result of the preset image and the preset recognition result, determine the similarity value of at least one face recognition algorithm; according to the weight value and the weight value of at least one face recognition algorithm The similarity value is to perform fusion processing on the initial recognition results of at least one...

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 an image recognition method and device. The method comprises the steps that at least one face recognition algorithm is acquired; the corresponding weight is assigned to at least one face recognition algorithm, and the weight value of at least one face recognition algorithm is determined; the similarity value of at least one face recognition algorithm is determined by comparing the initial recognition result of preset image recognition of at least one face recognition algorithm and the preset recognition result; and fusion processing is performed on the initial recognition result of at least one face recognition algorithm according to the weight value and the similarity value of at least one face recognition algorithm so as to obtain the recognition result of presetimage recognition. The technical problem of low recognition accuracy in case of performing recognition of the face image by using multiple recognition algorithms can be solved.

Description

technical field [0001] The present invention relates to the technical field of face recognition, in particular to an image recognition method and device. Background technique [0002] Face recognition is a kind of biometric recognition technology based on human facial feature information. It belongs to the widely used artificial intelligence biometric method at the present stage. It is also called portrait recognition and facial recognition. With the development of artificial intelligence technology and computer recognition technology, face recognition technology has been widely used in various fields, and with the further maturity of technology and the improvement of social recognition, face recognition technology will be applied in more fields. [0003] However, in the application process of face recognition, different application scenarios need to apply different face recognition algorithms. For example, in an office scene, the lighting conditions are stable, and the ill...

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): G06K9/00
CPCG06V40/16
Inventor 陈全
Owner GUANGZHOU SHIYUAN ELECTRONICS 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