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

Face recognition method and system based on dynamic threshold, and storage medium

A face recognition system and face recognition technology, applied in the field of face recognition method, system and storage medium based on dynamic threshold, can solve problems such as bad face experience

Pending Publication Date: 2020-10-23
SHENZHEN HEILS ZHONGCHENG TECH CO LTD
View PDF0 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

These images with large differences may cause a bad experience in the process of face recognition

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
  • Face recognition method and system based on dynamic threshold, and storage medium
  • Face recognition method and system based on dynamic threshold, and storage medium
  • Face recognition method and system based on dynamic threshold, and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0047] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative efforts fall within the protection scope of the present invention.

[0048] Embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0049] Such as figure 1 As shown, the face recognition method based on the dynamic threshold provided by the present invention comprises the following steps:

[0050] Step S100: Obtain a face image to be recognized, and calculate a feature vector of the face image to be recognized.

[0051] The training of the face recognition model is to process the...

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 face recognition method and system based on a dynamic threshold, and a storage medium, and the method comprises the steps of obtaining a to-be-recognized face image, and calculating a feature vector of the to-be-recognized face image; enabling the feature vector of the face to approach to the direction of the feature center by utilizing an updating algorithm; and using the updated feature vector of the face recognition base library for face recognition. In the aspect of face recognition, on the premise that a face recognition model is not changed, the face recognitionbase library feature vector is updated by utilizing the face image acquired by the equipment end, and the face feature vector is gradually iterated towards the direction of the feature center, so that style migration of a field environment is realized, the face recognition rate is improved, and the false recognition rate is reduced.

Description

technical field [0001] The present invention relates to the technical field of face recognition, in particular to a face recognition method, system and storage medium based on a dynamic threshold. Background technique [0002] At present, face recognition technology has been widely used in people's production and life. The general workflow is to enter personnel information in the background, including the face base database. In order to ensure the recognition effect and security, the photos in the base database need to undergo strict quality evaluation and liveness detection, and are different from the images acquired by the terminal camera. source, which may produce a large difference in data distribution, which will lead to a decline in the recognition rate. Moreover, the terminal equipment cannot be well controlled due to the environment. For example, the equipment may be deployed in a dark or backlit environment, and the quality evaluation of the face will not be contro...

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
IPC IPC(8): G06K9/00
CPCG06V40/168G06V40/172
Inventor 杨泽霖杨坚涂前彦薛利荣刘伟生
Owner SHENZHEN HEILS ZHONGCHENG TECH 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