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

Multi-modal biological feature fusion identity recognition method

A biometric and identity recognition technology, applied in the field of identity recognition, can solve the problems of easy theft of a single biometric and low security factor, and achieve the effects of increasing security factor, high accuracy and less time.

Pending Publication Date: 2022-05-17
深圳市优品智慧科技有限公司
View PDF0 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In view of the above situation, in order to overcome the defects of the prior art, the present invention provides a multi-modal biological feature fusion identity recognition method, which effectively solves the problem that the existing biological feature recognition methods often use a single biological feature for verification and identification, and a single biological feature It is easy to be stolen, and the safety factor of this authentication method is low when used

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
  • Multi-modal biological feature fusion identity recognition method
  • Multi-modal biological feature fusion identity recognition method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0025] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some of the embodiments of the present invention, not all of them; based on The embodiments of the present invention and 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.

[0026] Such as figure 1 As shown, the present invention provides a technical solution: a multi-modal biological feature fusion identification method, comprising the following steps:

[0027] S1: Identify the user: the user is identified on the input terminal identification interface, wherein, if the user has an account, it will directly enter the verification link; if the user has not registered login information, it will enter the user registra...

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 identity recognition methods, and discloses a multi-modal biological feature fusion identity recognition method. The multi-modal biological feature fusion identity recognition method comprises the following steps: S1, recognizing a user; s2, user registration; s3, user verification; s4, carrying out secondary verification; s5, alarm feedback; according to the invention, a dual-biological feature verification mode is adopted, any two of iris verification, fingerprint verification and voiceprint verification are selected, after identity information is input, any two verification modes of iris verification, fingerprint verification and voiceprint verification are verified, so that the risk of being stolen by people can be reduced, and when verification fails, secondary verification can be carried out, and a third verification mode is used for verification, so that the verification efficiency is improved. A user and an administrator at the receiving end judge the identity information of a user recognized at the input end, if the user is an untrusted user, positioning is started remotely, the control right of the input end is captured remotely, then the identity information is sorted, and an alarm is given.

Description

technical field [0001] The invention belongs to the technical field of identification methods, in particular to a multi-modal biological feature fusion identification method. Background technique [0002] Biometrics (BIOMETRICS) technology refers to the technology that uses the inherent physiological characteristics of the human body (fingerprint, iris, face, DNA, etc.) or behavioral characteristics (gait, keystroke habits, etc.) Each individual has unique physiological characteristics or behavior patterns that can be measured or automatically identified and verified, that is, biological characteristics, which can be divided into physiological characteristics (such as fingerprints, facial images, iris, palm prints, etc.) state, voice, handwriting, etc.), biometrics is to identify and authenticate each individual based on their unique biological characteristics. His main content is biometric technology and biometric system. Biometric technology (Biometric Identification Tech...

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): G06V40/70G06F21/32
CPCG06F21/32
Inventor 吕庭彬
Owner 深圳市优品智慧科技有限公司
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